Hannah L. Rusch, Simon Riley, Maria E. Mailhos, Marcelo O. Wallau, Chris H. Wilson
Mild winter temperatures in the southeastern United States allow for the implementation of cool-season annual forage on dormant warm-season perennial pastures of bahiagrass (Paspalum notatum Flüggé). However, establishing cool-season forages in low-input systems requires overcoming the challenges of limited precipitation and inadequate plant nutrition. No-till (NT) and split N fertilizer management strategies may mitigate these challenges by preserving soil moisture and matching N needs to plant uptake. A 2-year study in north-central Florida evaluated the effects of increasingly intensified tillage practices, from conventional tillage (CT) to NT, with or without chemically dormant sod, using single versus split N fertilizer management approaches on the productivity of cool-season annual grasses with and without the presence of legumes. Nitrogen was either applied once right after planting (80-0 lb ac−1) or in splits (30-50 and 50-30 lb ac−1), with a second application ∼45 days after planting, and compared with an unfertilized control. Legume establishment was limited (<1%) and did not influence the results. Conventional tillage resulted in 20% less soil moisture than the two NT treatments. Nitrogen fertilization increased tiller density by 51% and 60% relative to unfertilized forages, with no difference between split and single N applications. Average forage accumulation ranged from 0.63 to 5.51 tons dry matter ac−1. Overall, split N management resulted in greater forage accumulation than the unfertilized control for all tillage methods, as well as than a single early N application, except under CT. Overall, NT + herbicide-desiccated sod plus split N management enhanced cool-season annual forage biomass.
美国东南部冬季气温温和,适宜在暖季百喜草(Paspalum notatum fl gg)多年生休眠草场上实施冷季一年生牧草。然而,在低投入系统中建立冷季牧草需要克服降水有限和植物营养不足的挑战。免耕(NT)和分施氮肥管理策略可以通过保持土壤水分和匹配植物对氮的吸收来缓解这些挑战。在佛罗里达州中北部进行的一项为期2年的研究评估了日益强化的耕作方法的影响,从传统耕作(CT)到NT,使用或不使用化学休眠草皮,使用单一氮肥与分裂氮肥管理方法对有或没有豆科植物存在的冷季一年生草的生产力。在播种后立即施氮一次(80-0 lb ac - 1)或分次施氮(30-50和50-30 lb ac - 1),在播种后约45天第二次施氮,并与未施肥的对照进行比较。豆科植物的建立是有限的(<1%),不影响结果。常规耕作导致土壤水分比两个NT处理少20%。与未施氮肥相比,施氮肥可使分蘖密度提高51%和60%,分蘖密度与单施氮肥无显著差异。平均牧草积累量为0.63 ~ 5.51吨干物质ac−1。总体而言,除连续施氮外,在所有耕作方法中,分施氮肥比未施肥的对照产生更多的牧草积累,也比单次早期施氮产生更多的牧草积累。总体而言,NT +除草剂-干燥草皮+劈裂氮管理增加了冷季年牧草生物量。
{"title":"Split N management and no-till into herbicide-desiccated warm-season perennial grass sod favor cool-season annual forage establishment","authors":"Hannah L. Rusch, Simon Riley, Maria E. Mailhos, Marcelo O. Wallau, Chris H. Wilson","doi":"10.1002/cft2.70096","DOIUrl":"https://doi.org/10.1002/cft2.70096","url":null,"abstract":"<p>Mild winter temperatures in the southeastern United States allow for the implementation of cool-season annual forage on dormant warm-season perennial pastures of bahiagrass (<i>Paspalum notatum</i> Flüggé). However, establishing cool-season forages in low-input systems requires overcoming the challenges of limited precipitation and inadequate plant nutrition. No-till (NT) and split N fertilizer management strategies may mitigate these challenges by preserving soil moisture and matching N needs to plant uptake. A 2-year study in north-central Florida evaluated the effects of increasingly intensified tillage practices, from conventional tillage (CT) to NT, with or without chemically dormant sod, using single versus split N fertilizer management approaches on the productivity of cool-season annual grasses with and without the presence of legumes. Nitrogen was either applied once right after planting (80-0 lb ac<sup>−1</sup>) or in splits (30-50 and 50-30 lb ac<sup>−1</sup>), with a second application ∼45 days after planting, and compared with an unfertilized control. Legume establishment was limited (<1%) and did not influence the results. Conventional tillage resulted in 20% less soil moisture than the two NT treatments. Nitrogen fertilization increased tiller density by 51% and 60% relative to unfertilized forages, with no difference between split and single N applications. Average forage accumulation ranged from 0.63 to 5.51 tons dry matter ac<sup>−1</sup>. Overall, split N management resulted in greater forage accumulation than the unfertilized control for all tillage methods, as well as than a single early N application, except under CT. Overall, NT + herbicide-desiccated sod plus split N management enhanced cool-season annual forage biomass.</p>","PeriodicalId":10931,"journal":{"name":"Crop, Forage and Turfgrass Management","volume":"12 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2026-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146680417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jackie Lyn A. Guevara, Payton C. Perkinson, Kevin W. Frank
Soil testing provides golf course superintendents with the information needed to apply fertilizers at optimal rates, thereby avoiding nutrient deficiencies and unnecessary applications. However, nutrient rate recommendations vary depending on how soil test results are interpreted. Two approaches to interpreting soil test results are the Sufficiency Level of Available Nutrients (SLAN) and the Minimum Levels for Sustainable Nutrition (MLSN). Although these approaches have been compared on putting greens outside the United States, they have not yet been compared within the United States. Therefore, the objective of this study was to compare the effects of SLAN and MLSN nutrient recommendations on a ‘Penn A-4’ creeping bentgrass research putting green (Agrostis stolonifera L.) grown on a United States Golf Association–specification root zone in Michigan. The study was conducted at the Hancock Turfgrass Research Center in East Lansing, MI, from 2019 to 2021. The experimental design was a split-plot with two factors and three replications. The whole plot included three levels: SLAN, MLSN, and a nitrogen-fertilized control treatment. The subplot included two levels: trafficked and non-trafficked. Soil samples were collected in the spring and fall to a depth of 6 in. Turfgrass quality and health were measured monthly. Both approaches recommended a similar phosphorus application rate. However, MLSN recommended 200% less potassium than SLAN while maintaining comparable turfgrass quality under both trafficked and non-trafficked conditions.
土壤测试为高尔夫球场管理者提供了以最佳速率施用肥料所需的信息,从而避免了养分缺乏和不必要的施用。然而,营养量的建议取决于如何解释土壤测试结果。两种解释土壤测试结果的方法是有效养分充足水平(SLAN)和可持续营养最低水平(MLSN)。虽然这些方法在美国以外的地区进行过比较,但在美国国内还没有进行过比较。因此,本研究的目的是比较SLAN和MLSN营养建议对生长在密歇根州美国高尔夫协会规定的根区上的“Penn a -4”匍匐弯草研究果岭(Agrostis stolonifera L.)的影响。该研究于2019年至2021年在密歇根州东兰辛的汉考克草坪研究中心进行。试验设计为双因子、3个重复的分裂图。整个小区包括三个水平:SLAN、MLSN和氮肥对照处理。副图包括两个层次:被贩卖和非被贩卖。土壤样本是在春季和秋季采集的,深度为6英寸。每月测量草坪草的质量和健康状况。两种方法推荐的磷肥施用量相似。然而,MLSN建议比SLAN少200%的钾,同时在贩运和非贩运条件下保持相当的草坪质量。
{"title":"Comparing the effects of soil test interpretations for P and K on a creeping bentgrass putting green","authors":"Jackie Lyn A. Guevara, Payton C. Perkinson, Kevin W. Frank","doi":"10.1002/cft2.70100","DOIUrl":"https://doi.org/10.1002/cft2.70100","url":null,"abstract":"<p>Soil testing provides golf course superintendents with the information needed to apply fertilizers at optimal rates, thereby avoiding nutrient deficiencies and unnecessary applications. However, nutrient rate recommendations vary depending on how soil test results are interpreted. Two approaches to interpreting soil test results are the Sufficiency Level of Available Nutrients (SLAN) and the Minimum Levels for Sustainable Nutrition (MLSN). Although these approaches have been compared on putting greens outside the United States, they have not yet been compared within the United States. Therefore, the objective of this study was to compare the effects of SLAN and MLSN nutrient recommendations on a ‘Penn A-4’ creeping bentgrass research putting green (<i>Agrostis stolonifera</i> L.) grown on a United States Golf Association–specification root zone in Michigan. The study was conducted at the Hancock Turfgrass Research Center in East Lansing, MI, from 2019 to 2021. The experimental design was a split-plot with two factors and three replications. The whole plot included three levels: SLAN, MLSN, and a nitrogen-fertilized control treatment. The subplot included two levels: trafficked and non-trafficked. Soil samples were collected in the spring and fall to a depth of 6 in. Turfgrass quality and health were measured monthly. Both approaches recommended a similar phosphorus application rate. However, MLSN recommended 200% less potassium than SLAN while maintaining comparable turfgrass quality under both trafficked and non-trafficked conditions.</p>","PeriodicalId":10931,"journal":{"name":"Crop, Forage and Turfgrass Management","volume":"12 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2026-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://acsess.onlinelibrary.wiley.com/doi/epdf/10.1002/cft2.70100","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147280092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Addressing Sri Lanka's vegetable sector challenges requires recognizing farmers’ problems, extension staff training needs, and researchers’ priorities. This study analyzed Department of Agriculture reports (2012–2023) covering Yala and Maha seasons across all administrative divisions in Sri Lanka. In total, 462 field problems, 793 training needs, and 216 research requirements were documented. The frequency distribution within each category and the associations between variables were analyzed using Chi-square tests. Results indicated that more field problems were reported during the Yala season (61.3%) than the Maha season (38.8%; p < 0.05). Of these, 30.5% were attributed to pests and 26.6% to diseases (p > 0.05). Moreover, extension staff failed to identify >29% of the field problems reported, resulting in delays in their resolution. Most field problems were reported for bean (Phaseolus vulgaris L.), bitter gourd (Momordica charantia L.), brinjal (Solanum melongena L.), and tomato (Solanum lycopersicum L.). Bean, brinjal, cassava (Manihot esculenta Crantz), and yard-long bean [Vigna unguiculata subsp. sesquipedalis (L.) Verdc.] showed more field problems during the Yala season (p < 0.05), whereas other crops showed no seasonal variation in reported issues (p > 0.05). Extension staff requested more training during Yala (62.2%) than during Maha (37.8%), with key focus areas including agronomy (36.5%), pest and disease management (29.1%), and soil and fertilizer management (26.1%). A greater number of research requirements also emerged during Yala (62.5%), particularly in the areas of pest and disease management (30.6%), soil and fertilizer management (26.8%), agronomy (21.7%), and crop breeding (20.4%). Overall, most field problems, training needs, and research requirements in Sri Lanka's vegetable sector are related to pest and disease management and are influenced by season, crop type, and regional context.
{"title":"Field-level constraints, research needs, and capacity-building priorities in Sri Lanka's vegetable sector: A decadal review (2012–2023)","authors":"Prasadini Wickramarathna, Dinesha Kumarawansha, Udeni Devasinghe, Thanuja Illangakoon, Thushara Wickramarachchi, Lalith Suriyagoda","doi":"10.1002/cft2.70107","DOIUrl":"https://doi.org/10.1002/cft2.70107","url":null,"abstract":"<p>Addressing Sri Lanka's vegetable sector challenges requires recognizing farmers’ problems, extension staff training needs, and researchers’ priorities. This study analyzed Department of Agriculture reports (2012–2023) covering <i>Yala</i> and <i>Maha</i> seasons across all administrative divisions in Sri Lanka. In total, 462 field problems, 793 training needs, and 216 research requirements were documented. The frequency distribution within each category and the associations between variables were analyzed using Chi-square tests. Results indicated that more field problems were reported during the <i>Yala</i> season (61.3%) than the <i>Maha</i> season (38.8%; <i>p</i> < 0.05). Of these, 30.5% were attributed to pests and 26.6% to diseases (<i>p</i> > 0.05). Moreover, extension staff failed to identify >29% of the field problems reported, resulting in delays in their resolution. Most field problems were reported for bean (<i>Phaseolus vulgaris</i> L.), bitter gourd (<i>Momordica charanti</i>a L.), brinjal (<i>Solanum melongena</i> L.), and tomato (<i>Solanum lycopersicum</i> L.). Bean, brinjal, cassava (<i>Manihot esculenta</i> Crantz), and yard-long bean [<i>Vigna unguiculata</i> subsp. <i>sesquipedalis</i> (L.) Verdc.] showed more field problems during the <i>Yala</i> season (<i>p</i> < 0.05), whereas other crops showed no seasonal variation in reported issues (<i>p</i> > 0.05). Extension staff requested more training during <i>Yala</i> (62.2%) than during <i>Maha</i> (37.8%), with key focus areas including agronomy (36.5%), pest and disease management (29.1%), and soil and fertilizer management (26.1%). A greater number of research requirements also emerged during <i>Yala</i> (62.5%), particularly in the areas of pest and disease management (30.6%), soil and fertilizer management (26.8%), agronomy (21.7%), and crop breeding (20.4%). Overall, most field problems, training needs, and research requirements in Sri Lanka's vegetable sector are related to pest and disease management and are influenced by season, crop type, and regional context.</p>","PeriodicalId":10931,"journal":{"name":"Crop, Forage and Turfgrass Management","volume":"12 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2026-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147268900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
David L. Jordan, Rachel Vann, Donald J. Stokes, Dwight Cauthen, Ethan Foote, Angela Post, Adrienne Gorny, LeAnn Lux, Brian Stevens, Michael Brake, Stephen Deal, Ivy Lanier
Including soybean [Glycine max (L.) Merr.] in the previous cropping cycle can adversely affect peanut (Arachis hypogaea L.) yield by increasing disease incidence and populations of plant-parasitic nematodes in the soil. The impact of double-cropping wheat (Triticum aestivum L.) and soybean versus full-season soybean (referred to as the soybean planting system) has not been determined for peanut. Soybean and wheat yields were not affected by diverse crop sequences that included corn, cotton, peanut, and soybean under conventional tillage. Peanut, soybean, and wheat yields were greater at one of two locations when peanut followed a crop sequence that included tall fescue in previous years compared with a crop sequence without tall fescue. Peanut yield was greater at one of two locations when grown the year after double-cropped wheat and soybean compared with full-season soybean. Root galling of peanut caused by root-knot nematode (Meloidogyne spp.) was lower at one of two locations when tall fescue was included in the previous crop sequence. Results from these experiments indicate there is less risk for lower peanut yield when wheat and soybean are double-cropped than when full-season soybean is established the year prior to peanut.
{"title":"Peanut response following soybean grown full-season or double-cropped after wheat in North Carolina","authors":"David L. Jordan, Rachel Vann, Donald J. Stokes, Dwight Cauthen, Ethan Foote, Angela Post, Adrienne Gorny, LeAnn Lux, Brian Stevens, Michael Brake, Stephen Deal, Ivy Lanier","doi":"10.1002/cft2.70094","DOIUrl":"https://doi.org/10.1002/cft2.70094","url":null,"abstract":"<p>Including soybean [<i>Glycine max</i> (L.) Merr.] in the previous cropping cycle can adversely affect peanut (<i>Arachis hypogaea</i> L.) yield by increasing disease incidence and populations of plant-parasitic nematodes in the soil. The impact of double-cropping wheat (<i>Triticum aestivum</i> L.) and soybean versus full-season soybean (referred to as the soybean planting system) has not been determined for peanut. Soybean and wheat yields were not affected by diverse crop sequences that included corn, cotton, peanut, and soybean under conventional tillage. Peanut, soybean, and wheat yields were greater at one of two locations when peanut followed a crop sequence that included tall fescue in previous years compared with a crop sequence without tall fescue. Peanut yield was greater at one of two locations when grown the year after double-cropped wheat and soybean compared with full-season soybean. Root galling of peanut caused by root-knot nematode (<i>Meloidogyne</i> spp.) was lower at one of two locations when tall fescue was included in the previous crop sequence. Results from these experiments indicate there is less risk for lower peanut yield when wheat and soybean are double-cropped than when full-season soybean is established the year prior to peanut.</p>","PeriodicalId":10931,"journal":{"name":"Crop, Forage and Turfgrass Management","volume":"12 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2026-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://acsess.onlinelibrary.wiley.com/doi/epdf/10.1002/cft2.70094","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146193701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Simon K. Awala, Johanna N. Niipele, Kudakwashe Hove, Cecil Togarepi, Benisiu Thomas, Timothy Dube, Osmund D. Mwandemele
In climate change–vulnerable, food-insecure semi-arid regions of Sub-Saharan Africa, limited studies compared the performance of pearl millet [Pennisetum glaucum (L.)] landraces and improved genotypes under staggered sowing to establish their interactions, resulting in a generalization that landraces are lower yielding than their improved counterparts. A 3-year field experiment was conducted to compare grain and biomass production of an improved Okashana-2 and the landrace Kantana pearl millet genotypes under five sowing dates between January 1 and March 1 in semi-arid North-Central Namibia. Across years, Kantana sown on January 1 produced the highest grain and shoot biomass yields, ranging from 0.5 to 9.5 t ha−1 and 2.6 to 31.4 t ha−1, respectively, with both gradually declining with sowing delays. Higher grain and biomass yields in early-sown Kantana were due to its longer vegetative growth phase, nearly 2 weeks longer than that of its Okashana-2 counterpart, allowing more time for normal growth and development before heading. Okashana-2, on the other hand, attained its highest yields under January 1 or January 15 sowing dates, with grain and biomass yields ranging from 0.8 to 7.4 t ha−1 and 1.7 to 18.6 t ha−1, respectively, fluctuating among sowing dates; however, March 1 sowing produced the lowest yields. The variable yields for Okashana-2 indicate the genotype's ability to respond rapidly to soil moisture from various rainfall events. These results demonstrate that maximum pearl millet yields in northern Namibia are achievable by sowing Kantana by January 1, while Okashana-2 has higher and relatively stable yields under late sowing. However, farmers must promptly acquire production inputs and services to facilitate early sowing.
在易受气候变化影响、粮食不安全的撒哈拉以南非洲半干旱地区,有限的研究比较了珍珠粟(Pennisetum glaucum (L.))的地方品种和改良基因型在交错播种下的表现,以确定它们之间的相互作用,从而得出一个结论,即地方品种的产量低于改良品种。在1月1日至3月1日期间,在半干旱的纳米比亚中北部进行了为期3年的大田试验,比较了改良Okashana-2和地方品种Kantana珍珠粟基因型在5个播期下的粮食产量和生物量。各年份,1月1日播种的Kantana籽粒和茎部生物量产量最高,分别为0.5 ~ 9.5 t ha - 1和2.6 ~ 31.4 t ha - 1,两者随播种延迟而逐渐下降。早播坎塔纳的籽粒和生物量产量较高,是由于其营养生长期较长,比大夏2号长近2周,在抽穗前有更多的时间进行正常生长发育。另一方面,Okashana-2在1月1日和1月15日播期产量最高,籽粒和生物量产量分别在0.8 ~ 7.4 t ha - 1和1.7 ~ 18.6 t ha - 1之间,在播期之间波动;然而,3月1日播种产量最低。Okashana-2的可变产量表明基因型对不同降雨事件的土壤湿度有快速反应的能力。这些结果表明,在纳米比亚北部,1月1日之前播种Kantana可以实现珍珠粟的最高产量,而晚播的Okashana-2产量较高且相对稳定。然而,农民必须及时获得生产投入和服务,以促进早期播种。
{"title":"Effect of sowing date and genotype on pearl millet yield across semi-arid regions of Sub-Saharan Africa","authors":"Simon K. Awala, Johanna N. Niipele, Kudakwashe Hove, Cecil Togarepi, Benisiu Thomas, Timothy Dube, Osmund D. Mwandemele","doi":"10.1002/cft2.70093","DOIUrl":"https://doi.org/10.1002/cft2.70093","url":null,"abstract":"<p>In climate change–vulnerable, food-insecure semi-arid regions of Sub-Saharan Africa, limited studies compared the performance of pearl millet [<i>Pennisetum glaucum</i> (L.)] landraces and improved genotypes under staggered sowing to establish their interactions, resulting in a generalization that landraces are lower yielding than their improved counterparts. A 3-year field experiment was conducted to compare grain and biomass production of an improved Okashana-2 and the landrace Kantana pearl millet genotypes under five sowing dates between January 1 and March 1 in semi-arid North-Central Namibia. Across years, Kantana sown on January 1 produced the highest grain and shoot biomass yields, ranging from 0.5 to 9.5 t ha<sup>−1</sup> and 2.6 to 31.4 t ha<sup>−1</sup>, respectively, with both gradually declining with sowing delays. Higher grain and biomass yields in early-sown Kantana were due to its longer vegetative growth phase, nearly 2 weeks longer than that of its Okashana-2 counterpart, allowing more time for normal growth and development before heading. Okashana-2, on the other hand, attained its highest yields under January 1 or January 15 sowing dates, with grain and biomass yields ranging from 0.8 to 7.4 t ha<sup>−1</sup> and 1.7 to 18.6 t ha<sup>−1</sup>, respectively, fluctuating among sowing dates; however, March 1 sowing produced the lowest yields. The variable yields for Okashana-2 indicate the genotype's ability to respond rapidly to soil moisture from various rainfall events. These results demonstrate that maximum pearl millet yields in northern Namibia are achievable by sowing Kantana by January 1, while Okashana-2 has higher and relatively stable yields under late sowing. However, farmers must promptly acquire production inputs and services to facilitate early sowing.</p>","PeriodicalId":10931,"journal":{"name":"Crop, Forage and Turfgrass Management","volume":"12 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2026-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://acsess.onlinelibrary.wiley.com/doi/epdf/10.1002/cft2.70093","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146193674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lisa L. Baxter, Justin C. Burt, William F. Anderson, William R. Fleming, Jasmine G. Major
Bermudagrass (Cynodon spp.) is an important forage in the southeastern United States. Bermudagrass is incredibly diverse and includes numerous important cultivars for forage use. Most published research compares forage accumulation, nutritive value, or establishment among bermudagrass cultivars. There is a need to document bermudagrass stem diameters and to define classifications or groupings. The objectives of this study were (a) to compare the stem diameters of popular Cynodon cultivars currently grown in the southeastern United States, and (b) to assign these cultivars to defined-diameter categories. Three categories were defined based on the general stem size of popular hybrid bermudagrass cultivars and experimental genotypes. (1) Fine-stemmed cultivars have stem diameters <0.04 in. They have rapid drying times and establishment rates but exhibit poor tolerance to the bermudagrass stem maggot (BSM; Atherigona reversura Villeneuve) and tend to have lower nutritive value and production. (2) Intermediate-stemmed cultivars have stem diameters between 0.04 and 0.06 in. Many experimental genotypes fall into this category and show potential for optimizing drying time, establishment, and production capabilities. (3) Coarse-stemmed cultivars have stem diameters >0.06 in. These cultivars demonstrate documented improvements in production and BSM tolerance, but slow drying times and establishment hinder their adoption. Defining these categories will aid bermudagrass breeders and researchers to more easily classify forage-type bermudagrass germplasm in future evaluations.
{"title":"Defining stem diameter categories for forage-type bermudagrass","authors":"Lisa L. Baxter, Justin C. Burt, William F. Anderson, William R. Fleming, Jasmine G. Major","doi":"10.1002/cft2.70095","DOIUrl":"https://doi.org/10.1002/cft2.70095","url":null,"abstract":"<p>Bermudagrass (<i>Cynodon</i> spp.) is an important forage in the southeastern United States. Bermudagrass is incredibly diverse and includes numerous important cultivars for forage use. Most published research compares forage accumulation, nutritive value, or establishment among bermudagrass cultivars. There is a need to document bermudagrass stem diameters and to define classifications or groupings. The objectives of this study were (a) to compare the stem diameters of popular <i>Cynodon</i> cultivars currently grown in the southeastern United States, and (b) to assign these cultivars to defined-diameter categories. Three categories were defined based on the general stem size of popular hybrid bermudagrass cultivars and experimental genotypes. (1) Fine-stemmed cultivars have stem diameters <0.04 in. They have rapid drying times and establishment rates but exhibit poor tolerance to the bermudagrass stem maggot (BSM; <i>Atherigona reversura</i> Villeneuve) and tend to have lower nutritive value and production. (2) Intermediate-stemmed cultivars have stem diameters between 0.04 and 0.06 in. Many experimental genotypes fall into this category and show potential for optimizing drying time, establishment, and production capabilities. (3) Coarse-stemmed cultivars have stem diameters >0.06 in. These cultivars demonstrate documented improvements in production and BSM tolerance, but slow drying times and establishment hinder their adoption. Defining these categories will aid bermudagrass breeders and researchers to more easily classify forage-type bermudagrass germplasm in future evaluations.</p>","PeriodicalId":10931,"journal":{"name":"Crop, Forage and Turfgrass Management","volume":"12 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://acsess.onlinelibrary.wiley.com/doi/epdf/10.1002/cft2.70095","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146002443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ardavan Bakhshi Ganjeh, Mohammad Mehdi Rahimi, Abdolsamad Kelidari
The global expansion of drought stress, a major consequence of climate change, is adversely affecting crop production and resistance. This study aimed to investigate the efficacy of salicylic acid (SA) and cycocel (CCC) in mitigating the adverse effects on lemon balm (Melissa officinalis L.). The results revealed that the essential oil (EO) yield and percentage were mostly enhanced by 37% and 33%, respectively, under mild drought stress, indicating the plant's adaptive mechanism to optimize EO production under moderate stress conditions. Proline content also increased, reaching ∼2.45 µg g−1 fresh wt. under severe drought with foliar application, representing a 40% increase compared with untreated plants. Similarly, the enzymatic activities of catalase and superoxide dismutase were enhanced by 26% and 30%, respectively, under the same conditions. Overall, our results suggest that SA and CCC are effective plant growth regulators for lemon balm cultivation, particularly in arid areas.
作为气候变化的一个主要后果,干旱胁迫在全球范围内的扩大正在对作物生产和抗性产生不利影响。本研究旨在探讨水杨酸(SA)和环胞素(CCC)对柠檬香蜂草(Melissa officinalis L.)不良反应的缓解作用。结果表明,在轻度干旱胁迫下,挥发油产量和挥发油百分比分别提高了37%和33%,表明植物在中度干旱条件下优化挥发油产量的适应机制。脯氨酸含量也有所增加,在严重干旱的情况下,叶面施用的植株脯氨酸含量达到约2.45µg g - 1鲜重,比未处理植株增加了40%。同样,在相同条件下,过氧化氢酶和超氧化物歧化酶的酶活性分别提高了26%和30%。综上所述,SA和CCC是种植柠檬香蜂草的有效植物生长调节剂,特别是在干旱地区。
{"title":"Physiological and phytochemical responses of lemon balm (Melissa officinalis L.) to salicylic acid and cycocel under water stress conditions","authors":"Ardavan Bakhshi Ganjeh, Mohammad Mehdi Rahimi, Abdolsamad Kelidari","doi":"10.1002/cft2.70085","DOIUrl":"https://doi.org/10.1002/cft2.70085","url":null,"abstract":"<p>The global expansion of drought stress, a major consequence of climate change, is adversely affecting crop production and resistance. This study aimed to investigate the efficacy of salicylic acid (SA) and cycocel (CCC) in mitigating the adverse effects on lemon balm (<i>Melissa officinalis</i> L.). The results revealed that the essential oil (EO) yield and percentage were mostly enhanced by 37% and 33%, respectively, under mild drought stress, indicating the plant's adaptive mechanism to optimize EO production under moderate stress conditions. Proline content also increased, reaching ∼2.45 µg g<sup>−1</sup> fresh wt. under severe drought with foliar application, representing a 40% increase compared with untreated plants. Similarly, the enzymatic activities of catalase and superoxide dismutase were enhanced by 26% and 30%, respectively, under the same conditions. Overall, our results suggest that SA and CCC are effective plant growth regulators for lemon balm cultivation, particularly in arid areas.</p>","PeriodicalId":10931,"journal":{"name":"Crop, Forage and Turfgrass Management","volume":"12 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2026-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145930977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
<p>Environmental conditions can greatly impact wheat (<i>Triticum aestivum</i> L.) stands and, ultimately, grain yield during the 4–5 months between winter wheat planting in the fall and spring nitrogen applications. In recent years, spring freezes during this period have become a recurring threat to winter wheat in Kentucky. Between 2009 and 2024, seven winters have ranked among the National Weather Service's (NWS) <i>Top 10 Warmest Winters (December to February)</i> for the cities of Paducah (NWS, <span>2024b</span>), Lexington (NWS, <span>2024c</span>), and Bowling Green (NWS, <span>2024a</span>), which is now a 130-year record.</p><p>During unseasonably warm winters, there is an increased risk that the growing point of the wheat plant has emerged above the soil surface and is susceptible to damage caused by freezing conditions. When freeze damage occurs, there are no agronomic practices that can rescue the crop. The only option farmers have is to estimate the extent of the damage and determine whether it will be more profitable to keep the winter wheat crop or to terminate it and plant a different crop.</p><p>Most winter wheat farmers and practitioners in the United States use the same guidelines (Shroyer et al., <span>1995</span>) to predict wheat freeze damage, which were developed in Kansas in the 1950s with hard winter wheat (Zech & Pauli, <span>1960</span>). These extremely simple guidelines predict that freeze damage will occur when the air temperature remains at or below a threshold temperature for at least 2 consecutive hours (Table 1). Threshold temperatures vary depending on the growth stage of the wheat crop. In general, winter wheat is most sensitive to freeze damage during heading (Feekes 10.5) and flowering (Feekes 10.5.1–10.5.3). The next most susceptible growth stages are boot (Feekes 10) and grain fill (Feekes 11.1), followed by jointing and stem elongation (Feekes 6–9). Tillering growth stages (Feekes 1–5) are least likely to be damaged by freezing temperatures (Table 1).</p><p>In recent years, the validity of these widely adopted freeze damage prediction guidelines has come into question. In Kentucky alone, freeze damage was predicted to occur five times between 2009 and 2023 (Table 2). In 3 of the 5 years, wheat was at Feekes 6 (jointing) or Feekes 7 (two nodes), while in 2 of the years, wheat was flowering (Feekes 10.5.1–10.5.3; Table 2). Damage was observed in both years that a freeze occurred during flowering. In contrast, damage was observed in only 1 of the 3 years freeze damage was predicted during Feekes 6–7 growth stages. These findings indicate that the current guidelines appear to be valid when predicting damage during flowering growth stages but that revisions are needed to better predict when freeze damage will occur during jointing and stem elongation (Feekes 6–9). The objective of this work was to identify weather conditions that can predict when freeze damage occurs during winter wheat jointing and stem
{"title":"Understanding the conditions that cause freeze damage in winter wheat","authors":"Carrie A. Knott, Matthew Dixon","doi":"10.1002/cft2.70084","DOIUrl":"10.1002/cft2.70084","url":null,"abstract":"<p>Environmental conditions can greatly impact wheat (<i>Triticum aestivum</i> L.) stands and, ultimately, grain yield during the 4–5 months between winter wheat planting in the fall and spring nitrogen applications. In recent years, spring freezes during this period have become a recurring threat to winter wheat in Kentucky. Between 2009 and 2024, seven winters have ranked among the National Weather Service's (NWS) <i>Top 10 Warmest Winters (December to February)</i> for the cities of Paducah (NWS, <span>2024b</span>), Lexington (NWS, <span>2024c</span>), and Bowling Green (NWS, <span>2024a</span>), which is now a 130-year record.</p><p>During unseasonably warm winters, there is an increased risk that the growing point of the wheat plant has emerged above the soil surface and is susceptible to damage caused by freezing conditions. When freeze damage occurs, there are no agronomic practices that can rescue the crop. The only option farmers have is to estimate the extent of the damage and determine whether it will be more profitable to keep the winter wheat crop or to terminate it and plant a different crop.</p><p>Most winter wheat farmers and practitioners in the United States use the same guidelines (Shroyer et al., <span>1995</span>) to predict wheat freeze damage, which were developed in Kansas in the 1950s with hard winter wheat (Zech & Pauli, <span>1960</span>). These extremely simple guidelines predict that freeze damage will occur when the air temperature remains at or below a threshold temperature for at least 2 consecutive hours (Table 1). Threshold temperatures vary depending on the growth stage of the wheat crop. In general, winter wheat is most sensitive to freeze damage during heading (Feekes 10.5) and flowering (Feekes 10.5.1–10.5.3). The next most susceptible growth stages are boot (Feekes 10) and grain fill (Feekes 11.1), followed by jointing and stem elongation (Feekes 6–9). Tillering growth stages (Feekes 1–5) are least likely to be damaged by freezing temperatures (Table 1).</p><p>In recent years, the validity of these widely adopted freeze damage prediction guidelines has come into question. In Kentucky alone, freeze damage was predicted to occur five times between 2009 and 2023 (Table 2). In 3 of the 5 years, wheat was at Feekes 6 (jointing) or Feekes 7 (two nodes), while in 2 of the years, wheat was flowering (Feekes 10.5.1–10.5.3; Table 2). Damage was observed in both years that a freeze occurred during flowering. In contrast, damage was observed in only 1 of the 3 years freeze damage was predicted during Feekes 6–7 growth stages. These findings indicate that the current guidelines appear to be valid when predicting damage during flowering growth stages but that revisions are needed to better predict when freeze damage will occur during jointing and stem elongation (Feekes 6–9). The objective of this work was to identify weather conditions that can predict when freeze damage occurs during winter wheat jointing and stem ","PeriodicalId":10931,"journal":{"name":"Crop, Forage and Turfgrass Management","volume":"11 2","pages":""},"PeriodicalIF":1.1,"publicationDate":"2025-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://acsess.onlinelibrary.wiley.com/doi/epdf/10.1002/cft2.70084","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145824489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Brooke A. Stefancik, Keith D. Johnson, Jeffrey J. Volenec, Ronald P. Lemenager
Switchgrass (Panicum virgatum L.) is an important warm-season perennial grass in livestock systems and has been evaluated as an herbaceous energy crop. Switchgrass growth varies across environments. To accurately predict morphology, locally developed morphological development equations are needed. The objectives of this study were to compare the morphological development of a recently developed biofuel cultivar ‘Liberty’ to an improved forage cultivar ‘Shawnee’ in multiple environments in Indiana and to predict morphological development in response to growing degree days (GDD) and day of year (DOY). Pure stands of each cultivar were sampled weekly and biweekly at multiple locations in Indiana in 2016 and 2017. Morphological development was determined by the mean stage count (MSC) and mean stage weight (MSW) system. Prediction equations based on GDD and DOY for both MSC and MSW were developed from northern and central Indiana locations and validated using data from an independent site in west central Indiana. MSC and MSW were linearly related to GDD and had a quadratic relation to DOY. Significant main effects for GDD-based prediction included location and cultivar (P < .01), while DOY-based predictions included location (P < .01). Prediction r2 on the independent validation dataset ranged from 96% to 98% for both MSC and MSW. When predicting MSW at the validation location, the GDD and DOY equations had r2 values from 97% to 98%. Morphology predictions based on GDD and DOY resulted in similar r2 values, suggesting that either measure could be used to accurately predict growth in Indiana.
{"title":"Developing morphological prediction equations for switchgrass cultivars in Indiana","authors":"Brooke A. Stefancik, Keith D. Johnson, Jeffrey J. Volenec, Ronald P. Lemenager","doi":"10.1002/cft2.70088","DOIUrl":"https://doi.org/10.1002/cft2.70088","url":null,"abstract":"<p>Switchgrass (<i>Panicum virgatum</i> L.) is an important warm-season perennial grass in livestock systems and has been evaluated as an herbaceous energy crop. Switchgrass growth varies across environments. To accurately predict morphology, locally developed morphological development equations are needed. The objectives of this study were to compare the morphological development of a recently developed biofuel cultivar ‘Liberty’ to an improved forage cultivar ‘Shawnee’ in multiple environments in Indiana and to predict morphological development in response to growing degree days (GDD) and day of year (DOY). Pure stands of each cultivar were sampled weekly and biweekly at multiple locations in Indiana in 2016 and 2017. Morphological development was determined by the mean stage count (MSC) and mean stage weight (MSW) system. Prediction equations based on GDD and DOY for both MSC and MSW were developed from northern and central Indiana locations and validated using data from an independent site in west central Indiana. MSC and MSW were linearly related to GDD and had a quadratic relation to DOY. Significant main effects for GDD-based prediction included location and cultivar (<i>P</i> < .01), while DOY-based predictions included location (<i>P</i> < .01). Prediction <i>r</i><sup>2</sup> on the independent validation dataset ranged from 96% to 98% for both MSC and MSW. When predicting MSW at the validation location, the GDD and DOY equations had <i>r</i><sup>2</sup> values from 97% to 98%. Morphology predictions based on GDD and DOY resulted in similar <i>r</i><sup>2</sup> values, suggesting that either measure could be used to accurately predict growth in Indiana.</p>","PeriodicalId":10931,"journal":{"name":"Crop, Forage and Turfgrass Management","volume":"11 2","pages":""},"PeriodicalIF":1.1,"publicationDate":"2025-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://acsess.onlinelibrary.wiley.com/doi/epdf/10.1002/cft2.70088","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145625892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Christine C. Nieman, Dirk Philipp, Jonathan O. C. Kubesch
Annual forages are commonly planted in open pasture in the Mid-South, but there is little information on the productivity of these forages when incorporated into silvopasture. The objective was to evaluate four annual forages adapted to the Mid-South, namely, arrowleaf clover (Trifolium vesiculosum Savi), crimson clover (Trifolium incarnatum L.), tetraploid annual ryegrass (Lolium multiflorum L.), and diploid annual ryegrass (Lolium multiflorum L.), in a loblolly pine (Pinus taeda L.) silvopasture for seasonal forage mass distribution and annual forage accumulation. The forages were tested in a randomized complete block design with three replicates and three harvests per year: Harvest 1 (H1, April), Harvest 2 (H2, May), and Harvest 3 (H3, July) from 2020 to 2022. Both annual ryegrass types had greater forage mass for H1 and H2, with minimal regrowth after H2 and low forage mass for H3. Both annual ryegrass types outperformed the legumes, which largely failed to establish in this environment, contributing <22% of forage mass across harvests despite adequate soil pH, seed bed preparation, and inoculation. Both annual ryegrass types had greater forage mass in the loblolly silvopasture system for H1 and H2 and are more suitable forages for the system than the legumes tested.
{"title":"Forage mass and botanical composition of four annual forages grown in a loblolly pine silvopasture in the Mid-South USA","authors":"Christine C. Nieman, Dirk Philipp, Jonathan O. C. Kubesch","doi":"10.1002/cft2.70089","DOIUrl":"https://doi.org/10.1002/cft2.70089","url":null,"abstract":"<p>Annual forages are commonly planted in open pasture in the Mid-South, but there is little information on the productivity of these forages when incorporated into silvopasture. The objective was to evaluate four annual forages adapted to the Mid-South, namely, arrowleaf clover (<i>Trifolium vesiculosum</i> Savi), crimson clover (<i>Trifolium incarnatum</i> L.), tetraploid annual ryegrass (<i>Lolium multiflorum</i> L.), and diploid annual ryegrass (<i>Lolium multiflorum</i> L.), in a loblolly pine (<i>Pinus taeda</i> L.) silvopasture for seasonal forage mass distribution and annual forage accumulation. The forages were tested in a randomized complete block design with three replicates and three harvests per year: Harvest 1 (H1, April), Harvest 2 (H2, May), and Harvest 3 (H3, July) from 2020 to 2022. Both annual ryegrass types had greater forage mass for H1 and H2, with minimal regrowth after H2 and low forage mass for H3. Both annual ryegrass types outperformed the legumes, which largely failed to establish in this environment, contributing <22% of forage mass across harvests despite adequate soil pH, seed bed preparation, and inoculation. Both annual ryegrass types had greater forage mass in the loblolly silvopasture system for H1 and H2 and are more suitable forages for the system than the legumes tested.</p>","PeriodicalId":10931,"journal":{"name":"Crop, Forage and Turfgrass Management","volume":"11 2","pages":""},"PeriodicalIF":1.1,"publicationDate":"2025-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://acsess.onlinelibrary.wiley.com/doi/epdf/10.1002/cft2.70089","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145581172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}