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Continuous cropping legumes in semi-arid Southern Africa: Legume productivity and soil health implications 南部非洲半干旱地区的连作豆类:豆类生产力和土壤健康影响
IF 1.6 4区 农林科学 Q1 Agricultural and Biological Sciences Pub Date : 2022-04-22 DOI: 10.1017/S0014479722000138
A. Jani, T. Motis, J. Longfellow, B. Lingbeek, C. D’Aiuto
Abstract Legume agronomic research in Southern Africa has often focused on integrating legumes into smallholder cereal cropping systems, but there is limited information available on the feasibility and soil health implications of continuous cropping legumes in the region. Continuous legumes may be suitable in areas with large livestock populations where a premium is placed on high-quality forage, or where efforts are underway to reclaim degraded cropland. Our objectives in this study were to (i) evaluate the performance of diverse legumes under continuous cropping and conservation tillage management with no fertility inputs and (ii) assess the response of soil health parameters to continuous legumes in a semi-arid environment. A 4-year study was conducted in Limpopo, South Africa beginning in the 2011–2012 growing season in which 10 legume and fallow treatments were imposed in the same plots for 4 growing seasons. All legumes responded negatively in varying degrees to continuous cropping in terms of biomass and nutrient accumulation. Lablab (Lablab purpureus L.) was the top-performing legume in the study and accumulated 4.5–13 Mg ha−1 of biomass and 153–345, 11–34, and 75–286 kg ha−1 of N, P, and K, respectively. Lablab often outperformed natural fallow, while other legumes generally performed as well as or inferior to natural fallow, depending on species and growing season. Cowpea (Vigna unguiculata Walp) was especially incompatible with continuous cropping and averaged less than 252 kg ha−1 and 2.1 Mg ha−1 of grain and biomass, respectively, from 2012–2013 to 2014–2015. Continuous cropping did not lead to sustained improvements in soil health. By 2014–2015, soil organic matter for all treatments had either declined or resembled baseline values. Rates of potentially mineralizable N in cowpea, lablab, vining mucuna (Mucuna pruriens var. Utilis), natural fallow, and bare ground plots fell by 70–96% during the study. There was also evidence for lower recovery of leached K by legumes compared to natural fallow species. In conclusion, legumes, such as lablab, should be considered as continuous forages on marginal land in areas where high-quality forage is in demand, but continuous cropping legumes without fertility inputs are not an effective strategy for improving soil health on degraded cropland in this semi-arid region of Southern Africa. Future research efforts may focus on the grazing strategies and baling frequencies required to optimize annual biomass accumulation of continuous lablab to meet livestock demand and support smallholder livelihoods.
摘要南部非洲的豆类农学研究通常侧重于将豆类纳入小农户谷物种植系统,但关于该地区连作豆类的可行性和土壤健康影响的信息有限。连续的豆类作物可能适合畜牧业人口众多的地区,那里重视高质量的饲料,或者正在努力开垦退化的农田。我们在这项研究中的目标是(i)评估不同豆类在无肥力投入的连作和保护性耕作管理下的表现,以及(ii)评估半干旱环境中土壤健康参数对连作豆类的响应。从2011-2012年的生长季节开始,在南非林波波进行了一项为期4年的研究,在同一块土地上进行了10次豆类和休耕处理,持续4个生长季节。所有豆类在生物量和养分积累方面对连作都有不同程度的负面反应。Lablab(Lablab purpureus L.)是该研究中表现最好的豆科植物,其生物量分别为4.5–13 Mg ha−1和153–345、11–34和75–286 kg ha−1的N、P和K。Lablab通常表现优于自然休耕,而其他豆类的表现通常与自然休耕一样好或不如,这取决于物种和生长季节。豇豆(Vigna unguiculata Walp)与连作特别不相容,从2012-2013年到2014-2015年,平均谷物和生物量分别低于252 kg ha−1和2.1 Mg ha−1。连作并没有导致土壤健康状况的持续改善。到2014-2015年,所有处理的土壤有机质要么下降,要么接近基线值。在研究过程中,豇豆、lablab、酿酒mucuna(mucuna curiens var.Utilis)、自然休耕地和裸地的潜在矿化氮含量下降了70-96%。还有证据表明,与自然休耕物种相比,豆类对浸出钾的回收率较低。总之,在需要高质量饲料的地区,豆类,如lablab,应被视为边缘土地上的连续饲料,但在南部非洲这个半干旱地区,没有肥力投入的连作豆类并不是改善退化农田土壤健康的有效策略。未来的研究工作可能侧重于优化连续实验室的年度生物量积累所需的放牧策略和打包频率,以满足牲畜需求并支持小农户的生计。
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引用次数: 0
Enhanced-efficiency nitrogen fertilizer boosts cauliflower productivity and farmers’ income: Multi-location and multi-year field trials across Nepal 高效氮肥提高花椰菜产量和农民收入:尼泊尔多地点多年田间试验
IF 1.6 4区 农林科学 Q1 Agricultural and Biological Sciences Pub Date : 2022-04-13 DOI: 10.1017/S0014479722000060
N. Pandit, Y. K. Gaihre, Shriniwas Gautam, S. Maharjan, S. Vista, D. Choudhary
Summary Enhanced-efficiency nitrogen (N) fertilizers (EENFs) such as slow-release polymer-coated urea (PCU) and deep placement of urea briquettes (UBs) improve nitrogen use efficiency (NUE) by reducing N losses and increasing nitrogen uptake by plants. Multilocation field trials (81) with cauliflower were conducted across two agroecological regions covering seven districts during two crop-growing seasons between 2018 and 2020 to assess the potential of three EENFs, i.e., PCU, sulphur-coated urea (SCU) and UB for increasing curd yields, agronomic NUE (AEN) and economic benefits over conventional urea (CU). Results were compared with farmers’ current nutrient management practice (FP): applying CU at 58.5 kg N ha−1 (ranging from 33 to 88 kg N ha−1). The N rates in three EENF treatments were 33% lower (100 kg N ha−1), considering their higher N use efficiency, than for CU (150 kg N ha−1). We hypothesize that EENFs produce similar or even higher yields compared with CU. For both years, all three EENFs resulted in significantly (p < 0.05) higher curd yields than CU (36.7 ± 1.1 t ha−1). PCU, SCU and UB increased yields by 21, 21 and 24% over those for CU. The yield increment was much higher (PCU, 44%; SCU, 43%; UB, 46%) than for FP. Similarly, PCU, SCU and UB increased the partial factor productivity of N (PFPN) by 91, 90 and 94% and the AEN by 133, 129 and 138%, respectively, compared with CU. The gross margins of all three EENFs were similar: an average 25% more than with CU and 51% more than with FP. These results suggest that EENFs could help increase productivity and farmer income while considerably reducing N input, compared to use of CU. The government of Nepal should promote these EENFs by removing barriers to access for the associated fertilizers and foster their use through extension.
高效氮肥(EENFs),如缓释聚合物包膜尿素(PCU)和尿素压块(UBs)深埋,通过减少氮素损失和增加植物对氮的吸收来提高氮素利用效率(NUE)。在2018年至2020年的两个作物生长季节,在覆盖7个地区的两个农业生态区对花椰菜进行了多地点田间试验,以评估三种EENFs(即PCU、硫包尿素(SCU)和UB)在提高凝乳产量、农艺氮肥利用率(AEN)和经济效益方面的潜力。结果比较了农民目前的养分管理实践(FP):施用CU的氮素为58.5 kg N ha - 1(范围为33 ~ 88 kg N ha - 1)。考虑到氮利用效率较高,3个EENF处理(100 kg N ha−1)的施氮量比CU处理(150 kg N ha−1)低33%。我们假设EENFs与CU产生相似甚至更高的产量。在这两年中,所有三种EENFs均显著(p < 0.05)高于CU(36.7±1.1 t / h - 1)。PCU、SCU和UB分别比CU增产21%、21%和24%。产量增量高得多(PCU, 44%;并,43%;UB, 46%)高于FP。与CU相比,PCU、SCU和UB分别使N (PFPN)的部分要素生产率提高了91%、90%和94%,AEN分别提高了133、129和138%。所有三种eenf的毛利率相似:平均比CU高25%,比FP高51%。这些结果表明,与使用铜相比,EENFs可以帮助提高生产力和农民收入,同时大大减少氮的投入。尼泊尔政府应通过消除获得相关肥料的障碍,并通过推广促进其使用,来促进这些EENFs。
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引用次数: 2
Impact of improved agricultural extension approaches on technology adoption: Evidence from a randomised controlled trial in rural Tunisia 改进农业推广方法对技术采用的影响:来自突尼斯农村随机对照试验的证据
IF 1.6 4区 农林科学 Q1 Agricultural and Biological Sciences Pub Date : 2022-04-13 DOI: 10.1017/S0014479722000084
B. Dhehibi, M. Dhraief, Udo Ruediger, A. Frija, J. Werner, Lisa Straussberger, B. Rischkowsky
Summary Low and slow adoption of innovative technologies among smallholder farmers in Tunisia is a key agricultural development problem partly related to the existing technology transfer approach used in the country. The objective of this study is to analyse how to design innovative technology transfer strategies more effective in terms of increasing female and male farmers’ adoption of an improved barley variety, ‘Kounouz’, for small ruminant nutrition. A randomised controlled trial method was used with farmers in Tunisia to implement four extension treatments and to evaluate their effects on adoption of Kounouz. Difference-in-difference estimates showed that intensive agricultural trainings can significantly improve adoption of Kounouz. Technical trainings combined with economic and organisational training and female empowerment courses resulted in a higher adoption rate. This finding has important policy implications, because it suggests that ensuring more widespread and equitable adoption of improved technologies may not require changes in the research system, but rather introduction measures that ensure better access for women to gender-sensitive extension programmes given their positive impacts on technology adoption of the household.
突尼斯小农对创新技术的采用程度低且缓慢是一个关键的农业发展问题,部分原因与该国使用的现有技术转让方法有关。本研究的目的是分析如何设计更有效的创新技术转让策略,以提高女性和男性农民对改良大麦品种“Kounouz”的采用,用于小反刍动物营养。采用随机对照试验方法对突尼斯农民实施四种推广处理,并评估其对采用Kounouz的影响。差中差估计表明,集约化农业培训可以显著提高Kounouz的采用。技术培训与经济和组织培训以及赋予妇女权力课程相结合,提高了采用率。这一发现具有重要的政策意义,因为它表明,确保更广泛和公平地采用改进的技术可能不需要改变研究系统,而是需要采取措施,确保妇女更好地获得对性别问题敏感的推广方案,因为这些方案对家庭采用技术有积极影响。
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引用次数: 0
Yield response of tef (Eragrostis tef) to nitrogen, phosphorus, potassium and sulphur under balanced fertilization on Vertisols in different agroecological zones of Ethiopia 埃塞俄比亚不同农业生态区氮磷钾硫平衡施肥条件下油菜产量的响应
IF 1.6 4区 农林科学 Q1 Agricultural and Biological Sciences Pub Date : 2022-03-31 DOI: 10.1017/S0014479722000114
G. Chala, S. Kassa, T. Tadele, K. Assefa, Hailemariam Teshome, G. Agegnehu, W. Abera, Degife Tibebe, G. Sileshi, T. Erkossa
Summary Nutrient deficiency is a major constraint in tef (Eragrostis tef (Zucc.) Trotter) production in Ethiopia. In the past, a blanket recommendation of nitrogen (N) and phosphorus (P) fertilizers has been applied regardless of the diversity of agroecological zones and soil types. As crop responses declined with widespread deficiencies of nutrients, farmers have lost interest in applying the recommended fertilizer rates. The present study was conducted with the objective of quantifying the response of tef to different rates of N, P, potassium (K) and sulphur (S) fertilizers under balanced application of the nutrients other than the one under investigation. In each region, the same set of trials was implemented on farmers’ fields for three years. All trials were implemented on Vertisols across four agroecological zones (AEZs). The treatments were seven rates of N, six rates each of P and S and eight rates of K with a basal application of zinc (Zn) and boron (B). The results showed that the most limiting nutrient is N followed by P in each agroecological zone on the Vertisols. There was clear evidence of increases in grain yield with increasing rates of N and P, but the responses to K and S rates did not follow clear trends across AEZs. With balanced application of the other nutrients, 23–92 kg N ha−1 increased grain yield by 11–92%, while 10–40 kg P ha−1 increased yields by 12–33% over the control in the different AEZs. Based on results from dose–response models, it is concluded that the agronomic optimum rates for tef production are 69 kg N, 20 kg P, 30 kg K and 10 kg S ha−1 in the cool sub-moist mid-highlands and the tepid sub-humid mid highlands; 92 kg N, 30 kg P, 15 kg K and 10 kg S ha−1 in tepid moist mid highlands but 69 kg N, 10 kg P, 15 kg K and 10 kg S ha−1 in the tepid sub-moist mid highlands. On Vertisols not covered by this study, these recommendations should be subject to appropriate soil and plant analysis. We also recommend further studies on the nutrient requirement of tef on other soil types and AEZs.
营养缺乏是制约tef (Eragrostis tef (Zucc.))生长的主要因素。埃塞俄比亚的猪蹄生产。过去,不考虑农业生态区和土壤类型的多样性,只推荐使用氮肥和磷肥。由于普遍缺乏营养,作物反应下降,农民对施用推荐的肥料量失去了兴趣。本研究的目的是定量研究在平衡施用除所研究的营养物以外的其他营养物的情况下,tef对不同氮、磷、钾和硫的响应。在每个地区,同样的一套试验在农民的田地里实施了三年。所有试验均在四个农业生态区(aez)实施。施氮量为7份,磷、硫各6份,钾8份,以锌、硼为基肥。结果表明,在垂直土壤上,各农业生态区氮素限制最大,磷次之。有明显的证据表明,粮食产量随氮、磷施用量的增加而增加,但对钾、硫施用量的响应在经济专用区之间没有明显的趋势。在均衡施用其他养分的情况下,在不同经济区域,施用23 ~ 92 kg N hm−1比对照增产11 ~ 92%,施用10 ~ 40 kg P hm−1比对照增产12 ~ 33%。结果表明,低温亚湿润型中高原和温和亚湿润型中高原的最佳农艺产量为69 kg N、20 kg P、30 kg K和10 kg S ha−1;中度湿润的中部高原为92 kg N、30 kg P、15 kg K和10 kg S ha−1,而中度湿润的中部高原为69 kg N、10 kg P、15 kg K和10 kg S ha−1。对于本研究未涉及的农药,这些建议应以适当的土壤和植物分析为基础。建议进一步研究tef在其他土壤类型和经济隔离区的养分需求。
{"title":"Yield response of tef (Eragrostis tef) to nitrogen, phosphorus, potassium and sulphur under balanced fertilization on Vertisols in different agroecological zones of Ethiopia","authors":"G. Chala, S. Kassa, T. Tadele, K. Assefa, Hailemariam Teshome, G. Agegnehu, W. Abera, Degife Tibebe, G. Sileshi, T. Erkossa","doi":"10.1017/S0014479722000114","DOIUrl":"https://doi.org/10.1017/S0014479722000114","url":null,"abstract":"Summary Nutrient deficiency is a major constraint in tef (Eragrostis tef (Zucc.) Trotter) production in Ethiopia. In the past, a blanket recommendation of nitrogen (N) and phosphorus (P) fertilizers has been applied regardless of the diversity of agroecological zones and soil types. As crop responses declined with widespread deficiencies of nutrients, farmers have lost interest in applying the recommended fertilizer rates. The present study was conducted with the objective of quantifying the response of tef to different rates of N, P, potassium (K) and sulphur (S) fertilizers under balanced application of the nutrients other than the one under investigation. In each region, the same set of trials was implemented on farmers’ fields for three years. All trials were implemented on Vertisols across four agroecological zones (AEZs). The treatments were seven rates of N, six rates each of P and S and eight rates of K with a basal application of zinc (Zn) and boron (B). The results showed that the most limiting nutrient is N followed by P in each agroecological zone on the Vertisols. There was clear evidence of increases in grain yield with increasing rates of N and P, but the responses to K and S rates did not follow clear trends across AEZs. With balanced application of the other nutrients, 23–92 kg N ha−1 increased grain yield by 11–92%, while 10–40 kg P ha−1 increased yields by 12–33% over the control in the different AEZs. Based on results from dose–response models, it is concluded that the agronomic optimum rates for tef production are 69 kg N, 20 kg P, 30 kg K and 10 kg S ha−1 in the cool sub-moist mid-highlands and the tepid sub-humid mid highlands; 92 kg N, 30 kg P, 15 kg K and 10 kg S ha−1 in tepid moist mid highlands but 69 kg N, 10 kg P, 15 kg K and 10 kg S ha−1 in the tepid sub-moist mid highlands. On Vertisols not covered by this study, these recommendations should be subject to appropriate soil and plant analysis. We also recommend further studies on the nutrient requirement of tef on other soil types and AEZs.","PeriodicalId":12245,"journal":{"name":"Experimental Agriculture","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42232598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Response of maize yield to nitrogen, phosphorus, potassium and sulphur rates on Andosols and Nitisols in Ethiopia 埃塞俄比亚玉米产量对Andosols和Nitisol上氮、磷、钾和硫含量的响应
IF 1.6 4区 农林科学 Q1 Agricultural and Biological Sciences Pub Date : 2022-03-22 DOI: 10.1017/S0014479722000035
I. Bekele, B. Lulie, M. Habte, Shiferaw Boke, G. Hailu, Estifanos H. Mariam, J. S. Ahmed, W. Abera, G. Sileshi
Summary The use of fertilizers in balanced and adequate amounts is a prerequisite for increasing crop productivity and production. Unbalanced plant nutrient management continues to be a major factor contributing to low maize (Zea mays L.) yields due to lack of information on the dose–responses to macronutrients on different soil types in Ethiopia. This study was carried out to quantify maize yield response and agronomic efficiency of varying application rates of nitrogen (N), phosphorus (P), potassium (K) and sulphur (S) under balanced application of other nutrients across two soil types in Ethiopia. Field trials were set up on 29 farmers’ fields in four districts of Oromia and Southern Nations, Nationalities and Peoples Region (SNNPR) for three consecutive cropping seasons (2014–2017). The treatments consisted of six rates of N, P and S each and eight rates of K combined with balanced application of the remaining macronutrients, zinc (Zn) and boron (B). The treatments were laid out in randomised complete blocks design with three replicates per farm. Using nutrient dose–response modelling, the agronomic optimum rates of N, P, K and S were estimated at 46, 40, 17 and 10 kg ha−1 on Nitisols, with balanced application of the other nutrients. On Andosols, the optimum rates of N, P and S were estimated at 184, 20 and 30 kg ha−1, respectively, but the optimum K rate could not be estimated. The predicted maximum yields obtained with balanced nutrient application were lower on Andosols (3397–3640 kg ha−1) than on Nitisols (4630–6094 kg ha−1). Using the Mitscherlich dose–response model, the percentage deficiencies of N, P, K and S were estimated to be 1.3–3.3 times more on Nitisols than Andosols. Consequently, agronomic efficiencies of N, P, K and S were significantly lower on Andosols than on Nitisols. It is concluded that balanced application of 46 kg N ha−1, 40 kg P ha−1, 17 kg K ha−1, 10 kg ha−1 S, 2 kg Zn ha−1 and 0.5 kg B ha−1 could be recommended for maize on Nitisols in the study area. Although this recommendation may also apply to Andosol, further research is needed as the productivity of Andosols appears to be limited by constrains other than N, P, K, S, Zn and B. We also recommend a shift from the blanket fertilizer recommendations to site-specific nutrient management based on good understanding of the variations in crop response with soil type and agroecology and appropriate soil and plant analyses.
均衡、充足地使用肥料是提高作物生产力和产量的先决条件。由于缺乏埃塞俄比亚不同土壤类型对大量养分的剂量响应信息,不平衡的植物养分管理仍然是导致玉米(Zea mays L.)产量低的一个主要因素。本研究旨在量化埃塞俄比亚两种土壤类型在平衡施用其他养分的情况下,不同施氮量、磷量、钾量和硫量对玉米产量的响应和农艺效率。在奥罗米亚州和南部国家、民族和民族区(SNNPR) 4个区29块农民田间进行了连续3个种植季(2014-2017年)的田间试验。各施氮、磷、硫6个处理,施钾8个处理,同时平衡施用其余大量营养元素锌和硼。处理采用完全随机区组设计,每个农场3个重复。利用养分剂量响应模型,估算了硝土上氮、磷、钾和硫的最佳农艺施用量为46、40、17和10 kg ha - 1,同时均衡施用其他养分。在安多索上,氮、磷和硫的最佳施用量分别为184、20和30 kg ha - 1,但钾的最佳施用量无法估计。平衡施肥条件下,安多索的最大产量(3397 ~ 3640 kg ha - 1)低于硝土(4630 ~ 6094 kg ha - 1)。利用Mitscherlich剂量-响应模型估计,硝硝沙的N、P、K和S缺乏率是安多沙的1.3-3.3倍。因此,氮、磷、钾和硫在安土上的农艺效率显著低于硝土。综上所述,研究区氮素- 1 46 kg、磷素- 1 40 kg、钾素- 1 17 kg、硫素- 1 10 kg、锌- 1 2 kg、硼- 1 0.5 kg可均衡施用。虽然这一建议可能也适用于安土,但还需要进一步的研究,因为安土的生产力似乎受到氮、磷、钾、硫、锌和硼以外的制约因素的限制。我们还建议,在充分了解作物对土壤类型和农业生态学反应的变化以及适当的土壤和植物分析的基础上,从地膜施肥建议转向特定地点的养分管理。
{"title":"Response of maize yield to nitrogen, phosphorus, potassium and sulphur rates on Andosols and Nitisols in Ethiopia","authors":"I. Bekele, B. Lulie, M. Habte, Shiferaw Boke, G. Hailu, Estifanos H. Mariam, J. S. Ahmed, W. Abera, G. Sileshi","doi":"10.1017/S0014479722000035","DOIUrl":"https://doi.org/10.1017/S0014479722000035","url":null,"abstract":"Summary The use of fertilizers in balanced and adequate amounts is a prerequisite for increasing crop productivity and production. Unbalanced plant nutrient management continues to be a major factor contributing to low maize (Zea mays L.) yields due to lack of information on the dose–responses to macronutrients on different soil types in Ethiopia. This study was carried out to quantify maize yield response and agronomic efficiency of varying application rates of nitrogen (N), phosphorus (P), potassium (K) and sulphur (S) under balanced application of other nutrients across two soil types in Ethiopia. Field trials were set up on 29 farmers’ fields in four districts of Oromia and Southern Nations, Nationalities and Peoples Region (SNNPR) for three consecutive cropping seasons (2014–2017). The treatments consisted of six rates of N, P and S each and eight rates of K combined with balanced application of the remaining macronutrients, zinc (Zn) and boron (B). The treatments were laid out in randomised complete blocks design with three replicates per farm. Using nutrient dose–response modelling, the agronomic optimum rates of N, P, K and S were estimated at 46, 40, 17 and 10 kg ha−1 on Nitisols, with balanced application of the other nutrients. On Andosols, the optimum rates of N, P and S were estimated at 184, 20 and 30 kg ha−1, respectively, but the optimum K rate could not be estimated. The predicted maximum yields obtained with balanced nutrient application were lower on Andosols (3397–3640 kg ha−1) than on Nitisols (4630–6094 kg ha−1). Using the Mitscherlich dose–response model, the percentage deficiencies of N, P, K and S were estimated to be 1.3–3.3 times more on Nitisols than Andosols. Consequently, agronomic efficiencies of N, P, K and S were significantly lower on Andosols than on Nitisols. It is concluded that balanced application of 46 kg N ha−1, 40 kg P ha−1, 17 kg K ha−1, 10 kg ha−1 S, 2 kg Zn ha−1 and 0.5 kg B ha−1 could be recommended for maize on Nitisols in the study area. Although this recommendation may also apply to Andosol, further research is needed as the productivity of Andosols appears to be limited by constrains other than N, P, K, S, Zn and B. We also recommend a shift from the blanket fertilizer recommendations to site-specific nutrient management based on good understanding of the variations in crop response with soil type and agroecology and appropriate soil and plant analyses.","PeriodicalId":12245,"journal":{"name":"Experimental Agriculture","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43279242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
A data-mining approach for developing site-specific fertilizer response functions across the wheat-growing environments in Ethiopia 一种数据挖掘方法,用于在埃塞俄比亚的小麦生长环境中开发特定地点的肥料响应函数
IF 1.6 4区 农林科学 Q1 Agricultural and Biological Sciences Pub Date : 2022-03-11 DOI: 10.1017/S0014479722000047
W. Abera, L. Tamene, K. Tesfaye, Daniel Jiménez, Hugo Dorado, T. Erkossa, J. Kihara, J. S. Ahmed, T. Amede, J. Ramirez-Villegas
Summary The use of chemical fertilizers is among the main innovations brought by the 1960s Green Revolution. In Ethiopia, fertilizer application during the last four decades has led to significant yield gains, yet yield remains below its potential across much of the country. One of the main challenges responsible for low yield response to fertilizer application has been the use of ‘blanket’ recommendations, whereby no tailoring of fertilizer amount and frequency is done based on soil requirements. As a result, the amount of fertilizer applied ranges widely, and can be either sub- or supra-optimal. There is thus an increasing need for site-specific fertilizer recommendations which take into account site characteristics such as climate variables (temperature, rainfall, and solar radiation); soil factors (soil organic carbon, moisture, pH, texture, cation exchange capacity, and level of macro- and micronutrients); and topographic position indices. This article reports on a data-mining approach we developed on a large dataset of 6585 wheat (Triticum aestivum) field trials. The dataset includes detailed, site-specific biophysical variables to create nutrient response functions that can guide optimal site-specific fertilizer application. The approach used a machine-learning model (random forest) to capture the relationship between nutrients – nitrogen (N), phosphorous (P), potassium (K), and sulfur (S) – and wheat yield. The model explained about 83, 82, 47, and 69% of variances of yield for N, P, K, and S omission, respectively, with consistent performance across training and testing datasets. Expectedly, for N and P omission data, the most important explanatory variables are nutrient rate, followed by soil organic carbon and soil pH. For K and S, however, climatic variables played an important role alongside nutrient rates. The site-specific yield–fertilizer response curves derived from our model are highly variable from location to location, as they are affected by the climatic, soil, or topographic conditions of the site. Importantly, using principal component analysis, we showed that the shape of the fertilizer response curves is a result of the multiple environmental factors (including soil, topography, and climate) that are at play at a given site, rather than of a specific dominant one. The research output is expected to respond to the national policy demands for a sound method to identify the optimal fertilizer rate to increase economic returns of fertilizer investments and take fertilizer utilization research one step further.
摘要化肥的使用是20世纪60年代绿色革命带来的主要创新之一。在埃塞俄比亚,过去四十年的化肥施用带来了显著的产量增长,但该国大部分地区的产量仍低于其潜力。造成化肥施用产量低的主要挑战之一是使用“一揽子”建议,即不根据土壤需求调整肥料的用量和频率。因此,施肥量的范围很广,可以是次优或超优。因此,越来越需要针对特定地点的肥料建议,这些建议考虑到了气候变量(温度、降雨量和太阳辐射)等地点特征;土壤因素(土壤有机碳、水分、pH、质地、阳离子交换能力以及宏观和微量营养素水平);以及地形位置指数。本文报道了我们在6585个小麦(Triticum aestivum)田间试验的大型数据集上开发的数据挖掘方法。该数据集包括详细的、特定地点的生物物理变量,以创建营养反应函数,从而指导特定地点的最佳肥料施用。该方法使用机器学习模型(随机森林)来捕捉营养素——氮(N)、磷(P)、钾(K)和硫(S)——与小麦产量之间的关系。该模型分别解释了N、P、K和S遗漏的产量方差的83%、82%、47%和69%,在训练和测试数据集中表现一致。不出所料,对于N和P的遗漏数据,最重要的解释变量是养分速率,其次是土壤有机碳和土壤pH。然而,对于K和S,气候变量与养分速率一起发挥着重要作用。根据我们的模型得出的特定地点产量-肥料响应曲线因地点而异,因为它们受到地点的气候、土壤或地形条件的影响。重要的是,使用主成分分析,我们表明肥料响应曲线的形状是在给定地点发挥作用的多种环境因素(包括土壤、地形和气候)的结果,而不是特定的主导因素。研究成果预计将响应国家政策的要求,即确定最佳施肥率的合理方法,以提高肥料投资的经济回报,并使肥料利用研究更进一步。
{"title":"A data-mining approach for developing site-specific fertilizer response functions across the wheat-growing environments in Ethiopia","authors":"W. Abera, L. Tamene, K. Tesfaye, Daniel Jiménez, Hugo Dorado, T. Erkossa, J. Kihara, J. S. Ahmed, T. Amede, J. Ramirez-Villegas","doi":"10.1017/S0014479722000047","DOIUrl":"https://doi.org/10.1017/S0014479722000047","url":null,"abstract":"Summary The use of chemical fertilizers is among the main innovations brought by the 1960s Green Revolution. In Ethiopia, fertilizer application during the last four decades has led to significant yield gains, yet yield remains below its potential across much of the country. One of the main challenges responsible for low yield response to fertilizer application has been the use of ‘blanket’ recommendations, whereby no tailoring of fertilizer amount and frequency is done based on soil requirements. As a result, the amount of fertilizer applied ranges widely, and can be either sub- or supra-optimal. There is thus an increasing need for site-specific fertilizer recommendations which take into account site characteristics such as climate variables (temperature, rainfall, and solar radiation); soil factors (soil organic carbon, moisture, pH, texture, cation exchange capacity, and level of macro- and micronutrients); and topographic position indices. This article reports on a data-mining approach we developed on a large dataset of 6585 wheat (Triticum aestivum) field trials. The dataset includes detailed, site-specific biophysical variables to create nutrient response functions that can guide optimal site-specific fertilizer application. The approach used a machine-learning model (random forest) to capture the relationship between nutrients – nitrogen (N), phosphorous (P), potassium (K), and sulfur (S) – and wheat yield. The model explained about 83, 82, 47, and 69% of variances of yield for N, P, K, and S omission, respectively, with consistent performance across training and testing datasets. Expectedly, for N and P omission data, the most important explanatory variables are nutrient rate, followed by soil organic carbon and soil pH. For K and S, however, climatic variables played an important role alongside nutrient rates. The site-specific yield–fertilizer response curves derived from our model are highly variable from location to location, as they are affected by the climatic, soil, or topographic conditions of the site. Importantly, using principal component analysis, we showed that the shape of the fertilizer response curves is a result of the multiple environmental factors (including soil, topography, and climate) that are at play at a given site, rather than of a specific dominant one. The research output is expected to respond to the national policy demands for a sound method to identify the optimal fertilizer rate to increase economic returns of fertilizer investments and take fertilizer utilization research one step further.","PeriodicalId":12245,"journal":{"name":"Experimental Agriculture","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2022-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46838247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Sorghum yield response to NPKS and NPZn nutrients along sorghum-growing landscapes 高粱生长景观对NPKS和NPZn养分的产量响应
IF 1.6 4区 农林科学 Q1 Agricultural and Biological Sciences Pub Date : 2022-03-11 DOI: 10.1017/S0014479722000072
G. Desta, T. Amede, Tadesse Gashaw, G. Legesse, G. Agegnehu, Kindu Mekonnen, A. Whitbread
Summary Grain sorghum [Sorghum bicolor (L.) Moench] is the major cereal crop used as staple crop in the arid and semi-arid regions of Ethiopia. Low sorghum yields are attributed to soil, climate and topographic factors. We investigated sorghum yield response to factorial combination of nitrogen and phosphorous (NP) as well as potassium (K), sulphur (S) and zinc (Zn), and how the position of farmers’ fields belonging to different landscape positions (i.e., upslope, mid-slope, and foot slope) could explain fertilizer response and yield variability. The analysis in this study made use of dataset from two sets of on-farm experiments where trials were set at two farmers’ fields for NPKS and three farmers’ fields for NPZn experiments in each landscape position. The experiments were implemented at two sorghum-growing locations (i.e., Hayk and Sirinka) in parts of the north-eastern Amhara region in Ethiopia. Sorghum yield response to fertilizer application was strongly linked to the spatial variation along landscape positions and varied over locations. Fertilizer response was significantly higher at foot slopes compared to mid-slopes and upslope positions, where fields at foot slopes exhibited relatively homogeneous responses. Application of combined nitrogen (N) and phosphorus (P) fertilizers, landscape position and the interaction of fertilizer application and landscape positions strongly affected sorghum yield. There was a linear and significant increase in sorghum yield with the increase in the NP rates. The combined application of NP with different levels of KS as well as NP with Zn fertilizer rates did not result in significant yield difference. The results indicated that local factors were much more influential when accounting for the heterogeneity in sorghum yield response to fertilizer. This further acknowledges the importance of a landscape-based fertilizer management approach to respond yield potential variability related with the farmers’ fields and landscape environment. Further investigation is needed to develop homogeneous fertilizer response units based on spatial variability of soil and topographic attributes along the landscape.
谷物高粱[高粱双色(L.)]是埃塞俄比亚干旱和半干旱地区的主要谷类作物。高粱产量低是由土壤、气候和地形等因素造成的。研究了高粱产量对氮磷(NP)、钾(K)、硫(S)和锌(Zn)因子组合的响应,以及不同景观位置(即上坡地、中坡地和坡地)的位置如何解释肥料响应和产量变异。本研究的分析使用了来自两组农场试验的数据集,其中在每个景观位置的两个农民田进行NPKS试验,三个农民田进行NPZn试验。试验是在埃塞俄比亚阿姆哈拉地区东北部部分地区的两个高粱种植地(即Hayk和Sirinka)进行的。高粱产量对施肥的响应与景观位置的空间变异密切相关,且在不同地点之间存在差异。与中坡和上坡位置相比,坡底的肥料响应明显更高,而中坡和上坡位置的农田表现出相对均匀的响应。氮磷肥配施、景观位置及施肥与景观位置的交互作用对高粱产量影响较大。随着NP用量的增加,高粱产量呈显著的线性增长。不同钾肥配施和不同施锌量配施对产量影响不显著。结果表明,当考虑到高粱产量对肥料响应的异质性时,地方因素的影响更大。这进一步确认了以景观为基础的肥料管理方法的重要性,以响应与农民的田地和景观环境相关的产量潜在变化。基于土壤和地形属性的空间变异性,需要进一步研究建立均匀的肥料响应单元。
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引用次数: 9
[Rapid and simultaneous determination of glyphosate, glufosinate, and their metabolites in soil by high performance liquid chromatography-tandem mass spectrometry]. [高效液相色谱-串联质谱法快速、同时测定土壤中的草甘膦、草胺膦及其代谢物]。
IF 0.7 4区 农林科学 Q1 Agricultural and Biological Sciences Pub Date : 2022-03-08 DOI: 10.3724/SP.J.1123.2021.08005
Hua Ping, Fang Zhao, Cheng Li, Beihong Wang, Hongling Kong, Yang Li, Zhihong Ma
<p><p>Glyphosate (GLY) and glufosinate (GLUF) are non-selective translocated herbicides that are used in agricultural and non-agricultural land worldwide. The extensive use of GLY and GLUF may lead to their accumulation in soil, which causes soil pollution and affects the soil micro-ecological environment; the accumulated GLY and GLUF also migrate to groundwater via leaching. However, GLY, GLUF, and their metabolites are highly water-soluble and lack chromogenic and fluorescent groups, making them difficult to analyze. Currently, derivatization methods are mostly used to detect GLY, GLUF, and their metabolites. However, these methods also have some drawbacks, such as complex operation, long time consumption, and poor stability. In addition, these compounds are easily passivated and made inactive in soil; they also react with organic matter, humic acid, metal oxides, and heavy metal ions, making their extraction from soil difficult. To date, the method for the determination of GLY, GLUF, and their metabolites in soil is limited. Therefore, it is necessary to establish a quick and sensitive method to determine the residues of GLY, GLUF, and their metabolites in soil. In this study, a high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) method was developed for the determination of GLY, GLUF, and their metabolites in soil. Parameters like extraction solvent, extraction temperature, extraction time, and adsorbents, which affected the extraction efficiencies, were optimized. Finally, the soil samples were extracted with 0.5 mol/L ammonia solution in a bath shaker at 50 ℃, and then centrifuged at 10000 r/min for 5 min. The supernatant was filtered through 0.2-μm syringe filters and then determined by HPLC-MS/MS. A Dikma Polyamino HILIC column (150 mm×2.0 mm, 5 μm) was used for chromatographic separation with good peak shape and high response of the target compounds. Ammonium acetate (0.2 mmol/L) with 0.07% ammonia aqueous solution and acetonitrile were used as the mobile phase. The flow rate of the elute was 0.25 mL/min. MS/MS was conducted under multiple reaction monitoring (MRM) mode using an electrospray ionization (ESI) source, and was quantified by the external standard method using matrix-matched calibration curves. All the target compounds were ionized in the negative ionization mode. The linear ranges of GLY and its metabolites were between 5.0 and 500 μg/L, and those of GLUF and its metabolites were between 2.0 and 500 μg/L. Linear correlation coefficients were greater than 0.99. The limit of detection (LOD) and limit of quantification (LOQ) were assessed using signal-to-noise (S/N) ratios of 3 and 10, respectively. The LOD and LOQ values of both GLY and (aminomethyl)phosphonic acid (AMPA) were 4.0 and 13.3 μg/kg, respectively. The LOD and LOQ values of GLUF, MPP, and N-acetyl glufosinate (NAG) were 2.0 and 6.7 μg/kg, respectively. Method accuracy was acquired by recovery test at three spiked levels (0.02, 0.05, 0.2 mg/
草甘膦(glly)和草甘膦(GLUF)是世界范围内用于农业和非农业土地的非选择性易位除草剂。GLY和GLUF的大量使用可能导致其在土壤中积累,造成土壤污染,影响土壤微生态环境;累积的GLY和GLUF也通过淋滤向地下水迁移。然而,GLY、GLUF及其代谢产物是高度水溶性的,缺乏显色和荧光基团,使其难以分析。目前,衍生化方法主要用于检测GLY、GLUF及其代谢物。但这些方法也存在操作复杂、耗时长、稳定性差等缺点。此外,这些化合物在土壤中很容易钝化和失去活性;它们还与有机物、腐植酸、金属氧化物和重金属离子发生反应,使它们难以从土壤中提取出来。迄今为止,测定土壤中GLY、GLUF及其代谢物的方法是有限的。因此,有必要建立一种快速灵敏的方法来测定土壤中GLY、GLUF及其代谢物的残留量。本研究建立了高效液相色谱-串联质谱(HPLC-MS/MS)测定土壤中GLY、GLUF及其代谢物的方法。对萃取溶剂、萃取温度、萃取时间、吸附剂等影响萃取效率的参数进行了优化。最后,用0.5 mol/L氨溶液在50℃浴摇床中提取土壤样品,以10000 r/min离心5 min,上清经0.2 μm注射器过滤器过滤后,采用HPLC-MS/MS测定。采用Dikma Polyamino HILIC色谱柱(150 mm×2.0 mm, 5 μm)进行色谱分离,峰形好,对目标化合物的响应高。以0.2 mmol/L的乙酸铵与0.07%的氨水溶液和乙腈为流动相。洗脱液流速0.25 mL/min。采用电喷雾电离(ESI)源在多反应监测(MRM)模式下进行质谱分析,采用基质匹配校准曲线外标法定量。所有目标化合物均以负电离模式电离。GLY及其代谢物的线性范围在5.0 ~ 500 μg/L之间,GLUF及其代谢物的线性范围在2.0 ~ 500 μg/L之间。线性相关系数大于0.99。检测限(LOD)和定量限(LOQ)分别采用3和10的信噪比进行评估。GLY和(氨基甲基)膦酸(AMPA)的LOD和LOQ值分别为4.0和13.3 μg/kg。glf、MPP和n -乙酰草甘膦(NAG)的LOD和LOQ值分别为2.0和6.7 μg/kg。方法在3个加标水平(0.02、0.05、0.2 mg/kg)下进行回收率试验,准确度较高。5种标靶在低有机质土壤中的平均加标回收率为74.2% ~ 101%,相对标准偏差(RSD)为0.93% ~ 6.8%;5种标靶在高有机质土壤中的平均加标回收率为90.8% ~ 116%,RSD为0.40% ~ 7.1%。采用所建立的方法对20个桃园土壤样品进行检测,AMPA、GLY、MPP、GLUF和NAG的检出率分别为45%、25%、10%、5%和5%。最大残留量分别为147、35.2、154、21.6和11.0 μg/kg。该方法简便、快速、绿色环保、价格低廉,预处理无需有机试剂,准确度高、灵敏度高、重现性好。该方法适用于大量不同有机质含量土壤样品的检测。可为土壤中残留状况和环境行为的研究提供可靠的技术支持。
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引用次数: 0
Optimal biochar application rates for mitigating global warming and increasing rice yield in a subtropical paddy field – ERRATUM 缓解全球变暖和提高亚热带稻田水稻产量的最佳生物炭施用量-勘误
IF 1.6 4区 农林科学 Q1 Agricultural and Biological Sciences Pub Date : 2022-02-23 DOI: 10.1017/s0014479722000059
Xiang Yang, T. Vancov, J. Peñuelas, J. Sardans, A. Singla, A. Alrefaei, Xuening Song, Yunying Fang, Weiqi Wang
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引用次数: 0
Measuring the value of data governance in agricultural investments: A case study 衡量农业投资中数据治理的价值:一个案例研究
IF 1.6 4区 农林科学 Q1 Agricultural and Biological Sciences Pub Date : 2022-02-21 DOI: 10.1017/S0014479721000314
D. Whittard, F. Ritchie, R. Musker, M. Rose
Summary The study at hand measures the value of improving data governance and access in the Supporting Soil Health Interventions (SSHI) project in Ethiopia. We applied two separate but interlinked models, one qualitative and one quantitative, to create a new framework enhancing the traditional cost–benefit analysis. The qualitative analysis provided novel insights into the specific types of value and the mechanisms through which they are generated. These results underpinned the development of an innovative framework to measure this perceived value quantitatively. By combining the quantitative and qualitative framework, the study demonstrated that it is possible to generate plausible and credible quantitative estimates of both costs and benefits of data governance and access. While acknowledging that the estimates are only illustrative, the case study results suggested on a direct cost measure, at a particular point in time, the SSHI data governance activities yielded a negative return. However, indirect social and public benefits are rarely quantified, but this paper shows that relatively few “indirect” benefits (current but unmeasured, or measurable but in the future) are necessary to reverse that view, at least from the point of the economy more generally.
摘要手头的研究衡量了埃塞俄比亚支持土壤健康干预(SSHI)项目中改善数据治理和访问的价值。我们应用了两个独立但相互关联的模型,一个是定性模型,另一个是定量模型,以创建一个新的框架来增强传统的成本效益分析。定性分析为价值的具体类型及其产生机制提供了新的见解。这些结果支持了一个创新框架的发展,以定量衡量这种感知价值。通过将定量和定性框架相结合,该研究表明,有可能对数据治理和访问的成本和收益进行合理可信的定量估计。虽然承认这些估计只是说明性的,但案例研究结果表明,在特定的时间点,SSHI数据治理活动产生了负回报。然而,间接的社会和公共利益很少被量化,但本文表明,至少从更普遍的经济角度来看,扭转这种观点所需的“间接”利益(当前但未计量,或可计量但未来)相对较少。
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引用次数: 1
期刊
Experimental Agriculture
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