Bruno C. Pedreira, Junior I. Yasuoka, Dale Helwig, Jaymelynn K. Farney, Gretchen F. Sassenrath
Interest in seeded bermudagrass cultivars has increased, but there is still a lack of information on management strategies combining nitrogen (N) fertilization and harvest frequency to support producer's decision-making process in a hayfield. In this study, we evaluated how combinations of N fertilization and harvesting management affect total forage accumulation (TFA) and nutritive value in ‘Wrangler’ bermudagrass [Cynodon dactylon (L.) Pers.] for 2 years. Management strategies were combinations of N fertilization (without N, one application, or three applications) and harvesting management (once or three times). Harvesting once or three times did not affect the TFA without N fertilization (H1 and H3) or with one application (H1N1 and H3N1). However, harvesting three times with three N applications (H3N3) presented the greatest TFA (7795 lbs dry matter [DM]/acre) and greater crude protein (CP), net energy gain, total digestible nutrients, and phosphorus (P) concentration, and lesser acid detergent fiber. Consequently, the greatest CP accumulation (CPA) was found in the H3N3 as well. Therefore, associating N fertilization with more frequent harvesting can increase the TFA and CPA, and improve the forage nutritive value, which can significantly affect winter feeding costs.
{"title":"Forage accumulation and nutritive value of ‘Wrangler’ bermudagrass hayfield in response to nitrogen and harvesting management","authors":"Bruno C. Pedreira, Junior I. Yasuoka, Dale Helwig, Jaymelynn K. Farney, Gretchen F. Sassenrath","doi":"10.1002/cft2.70016","DOIUrl":"10.1002/cft2.70016","url":null,"abstract":"<p>Interest in seeded bermudagrass cultivars has increased, but there is still a lack of information on management strategies combining nitrogen (N) fertilization and harvest frequency to support producer's decision-making process in a hayfield. In this study, we evaluated how combinations of N fertilization and harvesting management affect total forage accumulation (TFA) and nutritive value in ‘Wrangler’ bermudagrass [<i>Cynodon dactylon</i> (L.) Pers.] for 2 years. Management strategies were combinations of N fertilization (without N, one application, or three applications) and harvesting management (once or three times). Harvesting once or three times did not affect the TFA without N fertilization (H1 and H3) or with one application (H1N1 and H3N1). However, harvesting three times with three N applications (H3N3) presented the greatest TFA (7795 lbs dry matter [DM]/acre) and greater crude protein (CP), net energy gain, total digestible nutrients, and phosphorus (P) concentration, and lesser acid detergent fiber. Consequently, the greatest CP accumulation (CPA) was found in the H3N3 as well. Therefore, associating N fertilization with more frequent harvesting can increase the TFA and CPA, and improve the forage nutritive value, which can significantly affect winter feeding costs.</p>","PeriodicalId":10931,"journal":{"name":"Crop, Forage and Turfgrass Management","volume":"10 2","pages":""},"PeriodicalIF":1.1,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142764313","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}
Some endophytic rhizobacteria, including species producing deaminase enzymes for 1-aminocyclopropane-1-carboxylic acid (ACC) suppressing ethylene production (ACCd), form symbiosis with plant roots to enhance plant growth and stress tolerance. The objectives of this study were to determine growth-promoting effects and effective rates of inoculation with ACCd-producing Paraburkholderia aspalathi (WSF23 and WSF14) on creeping bentgrass (Agrostis stolonifera L.) performance under deficit irrigation in field conditions and effectiveness on post-stress recovery during re-watering. Turf field plots established with ‘L-93’ creeping bentgrass were inoculated with P. aspalathi strains (WSF23 and WSF14) through soil drenching either as a single strain or as a combination of both strains. After inoculation, plots were subjected to drought stress with deficit irrigation to replace 60% of the daily evapotranspiration rate, followed by re-watering for post-stress recovery. Three inoculant rates of 1.0, 1.5, and 2.0 × 107 colony-forming units (CFUs) were evaluated to determine the most effective dosage to apply under field conditions. Inoculation of plants with the consortium of the two strains at 1.5 × 107 CFUs was most effective in enhancing turf quality, percent green cover, normalized difference vegetation index, and dark green color index during drought stress and recovery periods. These results suggest that creeping bentgrass tolerance to drought stress and improved post-stress recovery could benefit from inoculation with P. aspalathi strains under field conditions and also ACC deaminase-producing rhizobacteria could be incorporated into turf management programs to maintain creeping bentgrass during abiotic stress conditions.
{"title":"Effects of rhizobacteria producing deaminase enzymes for aminocyclopropane-1-carboxylate on drought tolerance and post-stress recovery in creeping bentgrass under field conditions","authors":"William Errickson, Bingru Huang","doi":"10.1002/cft2.70013","DOIUrl":"10.1002/cft2.70013","url":null,"abstract":"<p>Some endophytic rhizobacteria, including species producing deaminase enzymes for 1-aminocyclopropane-1-carboxylic acid (ACC) suppressing ethylene production (ACCd), form symbiosis with plant roots to enhance plant growth and stress tolerance. The objectives of this study were to determine growth-promoting effects and effective rates of inoculation with ACCd-producing <i>Paraburkholderia aspalathi</i> (WSF23 and WSF14) on creeping bentgrass (<i>Agrostis stolonifera</i> L.) performance under deficit irrigation in field conditions and effectiveness on post-stress recovery during re-watering. Turf field plots established with ‘L-93’ creeping bentgrass were inoculated with <i>P. aspalathi</i> strains (WSF23 and WSF14) through soil drenching either as a single strain or as a combination of both strains. After inoculation, plots were subjected to drought stress with deficit irrigation to replace 60% of the daily evapotranspiration rate, followed by re-watering for post-stress recovery. Three inoculant rates of 1.0, 1.5, and 2.0 × 10<sup>7</sup> colony-forming units (CFUs) were evaluated to determine the most effective dosage to apply under field conditions. Inoculation of plants with the consortium of the two strains at 1.5 × 10<sup>7</sup> CFUs was most effective in enhancing turf quality, percent green cover, normalized difference vegetation index, and dark green color index during drought stress and recovery periods. These results suggest that creeping bentgrass tolerance to drought stress and improved post-stress recovery could benefit from inoculation with <i>P. aspalathi</i> strains under field conditions and also ACC deaminase-producing rhizobacteria could be incorporated into turf management programs to maintain creeping bentgrass during abiotic stress conditions.</p>","PeriodicalId":10931,"journal":{"name":"Crop, Forage and Turfgrass Management","volume":"10 2","pages":""},"PeriodicalIF":1.1,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cft2.70013","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142758050","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}
Andrew Malcomson, Spyridon Mourtzinis, John Gaska, Adam Roth, Tatiane Severo Silva, Shawn Conley
Soybean [Glycine max (L.) Merr.] planting date (PD) and maturity group (MG) selection are critical decisions for optimizing crop development and enhancing yield potential. This study examines the interaction effects of PDs and MGs on soybean yield in southern Wisconsin, utilizing a fractional replication experimental design across two growing seasons (2022 and 2023). Five PDs in 2022 and six in 2023 were tested, with 50 soybean cultivars per PD, encompassing MGs ranging from 0.3 to 2.9. Results reveal that optimal soybean yield occurred with early planting, particularly before May 20, with MGs between 1.5 to 2.9 performing best. Delayed planting led to diminished significance in MG selection for yield, but overall yield declined consistently, roughly 20 bu/acre, every 20 days beyond the May 20 PD. Practical implications suggest early planting to maximize sunlight capture and extend the seed fill period, alongside the selection of cultivars within the appropriate MG range. While this study is limited to a single location and 2-year duration, future collaborative efforts across multiple sites could provide a more comprehensive understanding of PD and MG interactions, benefiting soybean cultivation practices in diverse environments. Overall, our findings offer valuable insights for southern Wisconsin soybean farmers seeking to optimize yield and profitability in their operations.
{"title":"Planting date and maturity groups effects on soybean yield in Wisconsin","authors":"Andrew Malcomson, Spyridon Mourtzinis, John Gaska, Adam Roth, Tatiane Severo Silva, Shawn Conley","doi":"10.1002/cft2.70015","DOIUrl":"10.1002/cft2.70015","url":null,"abstract":"<p>Soybean [<i>Glycine max</i> (L.) Merr.] planting date (PD) and maturity group (MG) selection are critical decisions for optimizing crop development and enhancing yield potential. This study examines the interaction effects of PDs and MGs on soybean yield in southern Wisconsin, utilizing a fractional replication experimental design across two growing seasons (2022 and 2023). Five PDs in 2022 and six in 2023 were tested, with 50 soybean cultivars per PD, encompassing MGs ranging from 0.3 to 2.9. Results reveal that optimal soybean yield occurred with early planting, particularly before May 20, with MGs between 1.5 to 2.9 performing best. Delayed planting led to diminished significance in MG selection for yield, but overall yield declined consistently, roughly 20 bu/acre, every 20 days beyond the May 20 PD. Practical implications suggest early planting to maximize sunlight capture and extend the seed fill period, alongside the selection of cultivars within the appropriate MG range. While this study is limited to a single location and 2-year duration, future collaborative efforts across multiple sites could provide a more comprehensive understanding of PD and MG interactions, benefiting soybean cultivation practices in diverse environments. Overall, our findings offer valuable insights for southern Wisconsin soybean farmers seeking to optimize yield and profitability in their operations.</p>","PeriodicalId":10931,"journal":{"name":"Crop, Forage and Turfgrass Management","volume":"10 2","pages":""},"PeriodicalIF":1.1,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cft2.70015","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142758049","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}
Patrick M. Carr, Simon I. Fordyce, Samuel T. Koeshall, Peggy F. Lamb, Perry R. Miller, Jessica A. Torrion, Justin M. Vetch
Montana is the leading producer of field peas (Pisum sativum L.) in the United States. A density of 8 to 10 plants ft−2 is recommended when growing field peas in that state, but this recommendation is based on work done elsewhere. Field experiments were conducted in central Montana from 2021 through 2023 and at three additional locations in the final year to determine the yield and the economically optimum plant population (EOPP) when growing field peas for grain. The semi-leafless, yellow-cotyledon variety Montech 4152 was planted at five rates (5, 7, 9, 11, and 13 pure live seed [PLS] ft−2) in all 3 years with two additional rates (3 and 15 PLS ft−2) added in the final year. A minimum plant density of 6 to 8 plants ft−2, or planting field pea at 7 to 9 PLS ft−2, produced a grain yield comparable to or greater than amounts produced at other seeding rates. The minimum EOPP across the six experiments ranged from 3 (2.8) to 7 (6.4) plants ft−2, corresponding to a seeding rate of 3 to 7 PLS ft−2. However, more weeds were observed when field pea was planted at 3 PLS ft−2 than at higher rates in one of the experiments. A field pea density of 6 to 8 plants ft−2 is sufficient to optimize grain yield and economic returns in Montana and similar dryland environments.
{"title":"Dryland pea seeding rates can be reduced without yield or economic penalty","authors":"Patrick M. Carr, Simon I. Fordyce, Samuel T. Koeshall, Peggy F. Lamb, Perry R. Miller, Jessica A. Torrion, Justin M. Vetch","doi":"10.1002/cft2.70009","DOIUrl":"10.1002/cft2.70009","url":null,"abstract":"<p>Montana is the leading producer of field peas (<i>Pisum sativum</i> L.) in the United States. A density of 8 to 10 plants ft<sup>−2</sup> is recommended when growing field peas in that state, but this recommendation is based on work done elsewhere. Field experiments were conducted in central Montana from 2021 through 2023 and at three additional locations in the final year to determine the yield and the economically optimum plant population (EOPP) when growing field peas for grain. The semi-leafless, yellow-cotyledon variety Montech 4152 was planted at five rates (5, 7, 9, 11, and 13 pure live seed [PLS] ft<sup>−2</sup>) in all 3 years with two additional rates (3 and 15 PLS ft<sup>−2</sup>) added in the final year. A minimum plant density of 6 to 8 plants ft<sup>−2</sup>, or planting field pea at 7 to 9 PLS ft<sup>−2</sup>, produced a grain yield comparable to or greater than amounts produced at other seeding rates. The minimum EOPP across the six experiments ranged from 3 (2.8) to 7 (6.4) plants ft<sup>−2</sup>, corresponding to a seeding rate of 3 to 7 PLS ft<sup>−2</sup>. However, more weeds were observed when field pea was planted at 3 PLS ft<sup>−2</sup> than at higher rates in one of the experiments. A field pea density of 6 to 8 plants ft<sup>−2</sup> is sufficient to optimize grain yield and economic returns in Montana and similar dryland environments.</p>","PeriodicalId":10931,"journal":{"name":"Crop, Forage and Turfgrass Management","volume":"10 2","pages":""},"PeriodicalIF":1.1,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cft2.70009","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142642274","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}
Marty Schmer, Gary Varvel, Steve Swanson, Ben Fann
{"title":"Crop sequence affects horseweed density and productivity in oats","authors":"Marty Schmer, Gary Varvel, Steve Swanson, Ben Fann","doi":"10.1002/cft2.70014","DOIUrl":"10.1002/cft2.70014","url":null,"abstract":"","PeriodicalId":10931,"journal":{"name":"Crop, Forage and Turfgrass Management","volume":"10 2","pages":""},"PeriodicalIF":1.1,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142641163","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}
M. Scott Tilley, David L. Jordan, Rachel A. Vann, Luke Gatiboni, Ronnie W. Heiniger
{"title":"Influence of tillage and rotation sequence on corn response and planting pattern","authors":"M. Scott Tilley, David L. Jordan, Rachel A. Vann, Luke Gatiboni, Ronnie W. Heiniger","doi":"10.1002/cft2.70010","DOIUrl":"10.1002/cft2.70010","url":null,"abstract":"","PeriodicalId":10931,"journal":{"name":"Crop, Forage and Turfgrass Management","volume":"10 2","pages":""},"PeriodicalIF":1.1,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142641868","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}
Justin C. Burt, Lisa L. Baxter, William F. Anderson, Guy A. Hancock, William G. Secor
The bermudagrass stem maggot (BSM; Atherigona reversura Villeneuve) is known to have a detrimental effect on bermudagrass (Cynodon spp.). Currently, two strategically timed pyrethroid applications are recommended for BSM suppression in each harvest cycle. However, producers are interested in applying spinosad because of its residual effects for other insects or reducing the number of pyrethroid applications to cut input costs. Therefore, the objective of this study was to determine the agronomic and economic implications of one or multiple pyrethroid (zeta-cypermethrin) and/or spinosad applications on ‘Alicia’ and ‘Tifton 85’ bermudagrasses. Generally, zeta-cypermethrin treatments resulted in a greater herbage accumulation compared to the untreated control in both cultivars. Regardless of cultivar, spinosad only treatments did not improve upon the herbage accumulation observed in the untreated control. Crude protein and total digestible nutrients were not affected by insecticide treatments in either cultivar. Finally, two zeta-cypermethrin applications resulted in greater net profit compared to other insecticide treatments. These data illustrate that there is not yet an alternative for two pyrethroid applications for BSM suppression. Ongoing research and breeding efforts are focused on BSM tolerance and reduced pyrethroid usage to prevent resistance to the insecticide.
{"title":"Evaluating the agronomic and economic benefit of including spinosad with and without pyrethroid insecticides in bermudagrass stem maggot treatments","authors":"Justin C. Burt, Lisa L. Baxter, William F. Anderson, Guy A. Hancock, William G. Secor","doi":"10.1002/cft2.70011","DOIUrl":"10.1002/cft2.70011","url":null,"abstract":"<p>The bermudagrass stem maggot (BSM; <i>Atherigona reversura</i> Villeneuve) is known to have a detrimental effect on bermudagrass (<i>Cynodon</i> spp.). Currently, two strategically timed pyrethroid applications are recommended for BSM suppression in each harvest cycle. However, producers are interested in applying spinosad because of its residual effects for other insects or reducing the number of pyrethroid applications to cut input costs. Therefore, the objective of this study was to determine the agronomic and economic implications of one or multiple pyrethroid (zeta-cypermethrin) and/or spinosad applications on ‘Alicia’ and ‘Tifton 85’ bermudagrasses. Generally, zeta-cypermethrin treatments resulted in a greater herbage accumulation compared to the untreated control in both cultivars. Regardless of cultivar, spinosad only treatments did not improve upon the herbage accumulation observed in the untreated control. Crude protein and total digestible nutrients were not affected by insecticide treatments in either cultivar. Finally, two zeta-cypermethrin applications resulted in greater net profit compared to other insecticide treatments. These data illustrate that there is not yet an alternative for two pyrethroid applications for BSM suppression. Ongoing research and breeding efforts are focused on BSM tolerance and reduced pyrethroid usage to prevent resistance to the insecticide.</p>","PeriodicalId":10931,"journal":{"name":"Crop, Forage and Turfgrass Management","volume":"10 2","pages":""},"PeriodicalIF":1.1,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cft2.70011","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142641867","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}
Brian Pieralisi, Ramandeep Kumar Sharma, Bobby Golden, Jason Bond, Don Cook, Jon Irby, Mike Cox, Jagmandeep Dhillon
Soybean [Glycine max (L.) Merr.] biomass and grain yield has increased over the past several decades in the mid-southern United States. This is attributable to technological advances and improved management strategies. However, a better understanding of biomass accumulation and partitioning is needed to improve our knowledge base of varietal growth habits relative to yield, planting date, and harvest index (HI). Field experiments within a split plot arrangement in a randomized complete block design were established in 2017 and 2018 in Stoneville, MS. The study aimed to evaluate the effect of early (late-April or mid-May) and late (late-May) planting on biomass, HI, and yield amongst eight soybean varieties. Soybean total biomass accumulation was collected at multiple development stages, including V4, R2, mid R5, mid R6, and R8, and partitioned into senesced leaves, pods, and seeds. Overall, the planting date had no effect on yield, HI, and biomass accumulation at any of the growth stages. Yet, the interaction between planting date and variety significantly affected biomass accumulation at the mid R5 stage. Contrarily, the variety selection significantly affected yield, HI, and biomass accumulation at all growth stages except mid R6. The total biomass accumulation at R8 was greatest for Asgrow 46X6, Asgrow 4632, Terral 4857X, Terral 48A76, and Credenz 4748, when pooled over planting dates. Averaged across two planting dates, the greatest yield was produced by Terral 48A76, Asgrow 4632, and Asgrow 46X6. Furthermore, averaged across site-years, HI was greatest for Asgrow 4632 and Terral 48A76. Based on the results of this study, evaluating soybean HI rather than overall biomass accumulation may be more beneficial for variety selection decisions.
{"title":"Planting time and variety effects on biomass, harvest index, and yield of irrigated soybean in mid-Southern United States","authors":"Brian Pieralisi, Ramandeep Kumar Sharma, Bobby Golden, Jason Bond, Don Cook, Jon Irby, Mike Cox, Jagmandeep Dhillon","doi":"10.1002/cft2.70012","DOIUrl":"10.1002/cft2.70012","url":null,"abstract":"<p>Soybean [<i>Glycine max</i> (L.) Merr.] biomass and grain yield has increased over the past several decades in the mid-southern United States. This is attributable to technological advances and improved management strategies. However, a better understanding of biomass accumulation and partitioning is needed to improve our knowledge base of varietal growth habits relative to yield, planting date, and harvest index (HI). Field experiments within a split plot arrangement in a randomized complete block design were established in 2017 and 2018 in Stoneville, MS. The study aimed to evaluate the effect of early (late-April or mid-May) and late (late-May) planting on biomass, HI, and yield amongst eight soybean varieties. Soybean total biomass accumulation was collected at multiple development stages, including V4, R2, mid R5, mid R6, and R8, and partitioned into senesced leaves, pods, and seeds. Overall, the planting date had no effect on yield, HI, and biomass accumulation at any of the growth stages. Yet, the interaction between planting date and variety significantly affected biomass accumulation at the mid R5 stage. Contrarily, the variety selection significantly affected yield, HI, and biomass accumulation at all growth stages except mid R6. The total biomass accumulation at R8 was greatest for Asgrow 46X6, Asgrow 4632, Terral 4857X, Terral 48A76, and Credenz 4748, when pooled over planting dates. Averaged across two planting dates, the greatest yield was produced by Terral 48A76, Asgrow 4632, and Asgrow 46X6. Furthermore, averaged across site-years, HI was greatest for Asgrow 4632 and Terral 48A76. Based on the results of this study, evaluating soybean HI rather than overall biomass accumulation may be more beneficial for variety selection decisions.</p>","PeriodicalId":10931,"journal":{"name":"Crop, Forage and Turfgrass Management","volume":"10 2","pages":""},"PeriodicalIF":1.1,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cft2.70012","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142641869","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}
To explore the effects of varied irrigation regimes on different sorghum [Sorghum bicolor (L.) Moench] cultivars, a split-plot experiment adhering to a randomized complete block design with three replications was conducted in 2016 across the Khaveh and Varamin regions. The experimental treatments encompassed irrigation levels as the primary factor and four different sorghum cultivars as the secondary factor. Cultivars exhibiting larger leaf areas were associated with higher chlorophyll content, which enhanced biomass production and the quality of sorghum products. Notable variability in leaf area and crude fiber content was observed across irrigation regimes and cultivars, with 2121 cm2 to 7153 cm2 and 40.4% to 50.7%, respectively. Plant height, total dry weight, and water use efficiency were markedly higher under well-irrigated conditions than those under moderate and severe water deficit conditions. Specifically, the Pegah cultivar displayed the highest leaf area in the Varamin region, measuring 4612 cm2 and 5911 cm2, whereas the Thin Stem cultivar exhibited the lowest leaf area at both locations. Our findings suggest that the Pegah cultivar maintained a high leaf area without reducing total dry weight, indicating its stability across different environments. Therefore, to produce sorghums in similar climatic conditions, full irrigation is recommended. These results underscore the significance of ongoing research and breeding initiatives to leverage genetic diversity and improve sorghum cultivars.
{"title":"Response of forage sorghum cultivars to different water availability","authors":"Mahmoud Reza Ajoudani, Saeed Sayfzadeh, Seyed Alireza Valadabadi, Nasser Shahsavari, Hamidreza Zakerin","doi":"10.1002/cft2.70008","DOIUrl":"10.1002/cft2.70008","url":null,"abstract":"<p>To explore the effects of varied irrigation regimes on different sorghum [<i>Sorghum bicolor</i> (L.) Moench] cultivars, a split-plot experiment adhering to a randomized complete block design with three replications was conducted in 2016 across the Khaveh and Varamin regions. The experimental treatments encompassed irrigation levels as the primary factor and four different sorghum cultivars as the secondary factor. Cultivars exhibiting larger leaf areas were associated with higher chlorophyll content, which enhanced biomass production and the quality of sorghum products. Notable variability in leaf area and crude fiber content was observed across irrigation regimes and cultivars, with 2121 cm<sup>2</sup> to 7153 cm<sup>2</sup> and 40.4% to 50.7%, respectively. Plant height, total dry weight, and water use efficiency were markedly higher under well-irrigated conditions than those under moderate and severe water deficit conditions. Specifically, the Pegah cultivar displayed the highest leaf area in the Varamin region, measuring 4612 cm<sup>2</sup> and 5911 cm<sup>2</sup>, whereas the Thin Stem cultivar exhibited the lowest leaf area at both locations. Our findings suggest that the Pegah cultivar maintained a high leaf area without reducing total dry weight, indicating its stability across different environments. Therefore, to produce sorghums in similar climatic conditions, full irrigation is recommended. These results underscore the significance of ongoing research and breeding initiatives to leverage genetic diversity and improve sorghum cultivars.</p>","PeriodicalId":10931,"journal":{"name":"Crop, Forage and Turfgrass Management","volume":"10 2","pages":""},"PeriodicalIF":1.1,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142641221","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>White-tailed deer (<i>Odocoileus virginianus</i> Zimmerman) are the predominant big game species pursued by hunters in North America. However, in the early 1900s, white-tailed deer were nearly hunted to extinction. Some of the earliest available data indicate that white-tailed deer populations ranged from 0 to 0.35 mi<sup>−2</sup> in 1950 in the Southeastern United States (Alabama, Arkansas, Florida, Georgia, Kentucky, Louisiana, Mississippi, North Carolina, South Carolina, Tennessee, and Virginia), where populations had increased to 1.9 to 5.5 white-tailed deer mi<sup>−2</sup> in 2001 to 2005 in the same area (Hanberry & Hanberry, <span>2020</span>). A major goal in the wildlife profession has been increasing wildlife populations, which has been achieved (Conover et al., <span>2018</span>; Hanberry & Hanberry, <span>2020</span>). However, this can create issues for agricultural producers, with wildlife populations increasing to levels that have resulted in significant damage to crops (Conover et al., <span>2018</span>).</p><p>Upland cotton (<i>Gossypium hirsutum</i> L.), on average, is planted on 11.7 million acres across the United States (USDA-NASS, <span>2024</span>). In the same 10-year span, Georgia consistently ranked second in cotton acreage, with approximately 1.2 million planted acres annually, which makes it the most widely planted row crop in Georgia (USDA-NASS, <span>2024</span>). Growers and extension personnel alike noted that deer damage to cotton was uniquely high in the 2023 growing season, particularly in southeastern states (Bain, <span>2023</span>; Gratas, <span>2023</span>). Reports in the literature of perceived impact of white-tailed deer on crop production are limited. Thus, a survey was distributed from September 2023 to March 2024 in Georgia to determine the perceived impact of white-tailed deer on cotton.</p><p>This survey was distributed to growers, University of Georgia County Extension Agents, and crop consultants, and they were asked about the following information: i) if deer are an economic problem in cotton; ii) annual cotton acreage (used to calculate acres represented in responses); iii) percent of cotton acres affected by deer; iv) percent yield loss observed on affected acres; v) dollars spent per affected acre on mitigation measures for deer damage on cotton; and vi) mitigation measures utilized (growers only). In total, 525 growers at 47 grower meetings responded representing approximately 449,821 acres (Table 1), 27 consultants responded representing approximately 352,625 acres, and 16 University of Georgia County Agents responded representing approximately 259,000 acres. Where appropriate, responses were compared to determine if perception was similar across groups utilizing two-tailed <i>t</i>-tests assuming equal variances, graphs were built, and standard errors were calculated using Sigmaplot 15.0 (Systat Software). Proportion data were analyzed using a beta distribution.</p><p>With respect
{"title":"Growers, consultants, and county agents perceive white-tailed deer to be the most economically impactful pest of Georgia cotton","authors":"Lavesta C. Hand, Phillip M. Roberts, Sally Taylor","doi":"10.1002/cft2.70007","DOIUrl":"10.1002/cft2.70007","url":null,"abstract":"<p>White-tailed deer (<i>Odocoileus virginianus</i> Zimmerman) are the predominant big game species pursued by hunters in North America. However, in the early 1900s, white-tailed deer were nearly hunted to extinction. Some of the earliest available data indicate that white-tailed deer populations ranged from 0 to 0.35 mi<sup>−2</sup> in 1950 in the Southeastern United States (Alabama, Arkansas, Florida, Georgia, Kentucky, Louisiana, Mississippi, North Carolina, South Carolina, Tennessee, and Virginia), where populations had increased to 1.9 to 5.5 white-tailed deer mi<sup>−2</sup> in 2001 to 2005 in the same area (Hanberry & Hanberry, <span>2020</span>). A major goal in the wildlife profession has been increasing wildlife populations, which has been achieved (Conover et al., <span>2018</span>; Hanberry & Hanberry, <span>2020</span>). However, this can create issues for agricultural producers, with wildlife populations increasing to levels that have resulted in significant damage to crops (Conover et al., <span>2018</span>).</p><p>Upland cotton (<i>Gossypium hirsutum</i> L.), on average, is planted on 11.7 million acres across the United States (USDA-NASS, <span>2024</span>). In the same 10-year span, Georgia consistently ranked second in cotton acreage, with approximately 1.2 million planted acres annually, which makes it the most widely planted row crop in Georgia (USDA-NASS, <span>2024</span>). Growers and extension personnel alike noted that deer damage to cotton was uniquely high in the 2023 growing season, particularly in southeastern states (Bain, <span>2023</span>; Gratas, <span>2023</span>). Reports in the literature of perceived impact of white-tailed deer on crop production are limited. Thus, a survey was distributed from September 2023 to March 2024 in Georgia to determine the perceived impact of white-tailed deer on cotton.</p><p>This survey was distributed to growers, University of Georgia County Extension Agents, and crop consultants, and they were asked about the following information: i) if deer are an economic problem in cotton; ii) annual cotton acreage (used to calculate acres represented in responses); iii) percent of cotton acres affected by deer; iv) percent yield loss observed on affected acres; v) dollars spent per affected acre on mitigation measures for deer damage on cotton; and vi) mitigation measures utilized (growers only). In total, 525 growers at 47 grower meetings responded representing approximately 449,821 acres (Table 1), 27 consultants responded representing approximately 352,625 acres, and 16 University of Georgia County Agents responded representing approximately 259,000 acres. Where appropriate, responses were compared to determine if perception was similar across groups utilizing two-tailed <i>t</i>-tests assuming equal variances, graphs were built, and standard errors were calculated using Sigmaplot 15.0 (Systat Software). Proportion data were analyzed using a beta distribution.</p><p>With respect","PeriodicalId":10931,"journal":{"name":"Crop, Forage and Turfgrass Management","volume":"10 2","pages":""},"PeriodicalIF":1.1,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cft2.70007","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142439105","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}