Agronomic gain: Definition, approach, and application.
Agronomic gain: Definition, approach, and application.
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DOI：
10.1016/j.fcr.2021.108193
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发表时间：
2021-08-01
影响因子：
5.8
通讯作者：
Vanlauwe B
中科院分区：
文献类型：
--
作者：
Saito K;Six J;Komatsu S;Snapp S;Rosenstock T;Arouna A;Cole S;Taulya G;Vanlauwe B
我们根据关键绩效指标（KPI）的改善来定义农艺增益（AG）。KPI包括生产力、资源利用效率和土壤健康。AG评估适用于以前的研究，注意在撒哈拉以南非洲地区的水稻。在AG评估在不同的研究过程阶段的挑战。解决方案和未来的研究领域的挑战。满足未来全球主要作物需求需要不断提高生产力。已经提出了许多业绩指标，以跟踪和衡量生产力的提高，同时尽量减少环境退化。然而，它们的使用落后于理论，并且在不同地理区域的作物中并不一致。其后果是对可持续集约化机会的理解不一致。需要简单但强大的关键绩效指标（KPI）来标准化跨作物和地理的知识。本文定义了一个新的术语“农艺增益”的基础上改进的KPI，包括生产力，资源利用效率和土壤健康，一个特定的单一或组合的农艺措施提供在某些环境条件下。我们将农艺增益的概念应用于以科学为基础的农艺创新的不同阶段，并描述了用于评估农艺增益的不同方法，包括产量差距评估、元数据分析、现场和农场研究、影响评估、面板研究以及使用国家以下和国家统计数据评估不同阶段的KPI。我们主要关注撒哈拉以南非洲的水稻研究，那里存在巨大的产量差距。水稻是本地区最重要的粮食作物之一，对本地区的粮食安全起着至关重要的作用。我们的分析确定了农艺增益评估中的主要挑战，包括区分农艺增益和遗传增益，不可靠的面对面访谈，以及在更大范围内评估一些KPI。为了克服这些挑战，我们建议（i）开展多环境试验，评估品种×农艺措施×环境对KPI的相互作用;（ii）开发新的KPI评估方法，通过开发利用遥感技术的间接方法、系统化场地表征的移动的设备以及建立KPI之间或农艺措施与KPI之间的经验关系。
We define agronomic gain (AG) based on improvement in key performance indicators (KPIs). KPIs include productivity, resource use efficiencies, and soil health. AG assessment is applied to previous studies with attention to rice in sub-Saharan Africa. Challenges in AG assessment in different research process stages are identified. Solutions and future research areas in relation to the challenges are provided. Meeting future global staple crop demand requires continual productivity improvement. Many performance indicators have been proposed to track and measure the increase in productivity while minimizing environmental degradation. However, their use has lagged behind theory, and has not been uniform across crops in different geographies. The consequence is an uneven understanding of opportunities for sustainable intensification. Simple but robust key performance indicators (KPIs) are needed to standardize knowledge across crops and geographies. This paper defines a new term ‘agronomic gain’ based on an improvement in KPIs, including productivity, resource use efficiencies, and soil health that a specific single or combination of agronomic practices delivers under certain environmental conditions. We apply the concept of agronomic gain to the different stages of science-based agronomic innovations and provide a description of different approaches used to assess agronomic gain including yield gap assessment, meta-data analysis, on-station and on-farm studies, impact assessment, panel studies, and use of subnational and national statistics for assessing KPIs at different stages. We mainly focus on studies on rice in sub-Saharan Africa, where large yield gaps exist. Rice is one of the most important staple food crops and plays an essential role in food security in this region. Our analysis identifies major challenges in the assessment of agronomic gain, including differentiating agronomic gain from genetic gain, unreliable in-person interviews, and assessment of some KPIs at a larger scale. To overcome these challenges, we suggest to (i) conduct multi-environment trials for assessing variety × agronomic practice × environment interaction on KPIs, and (ii) develop novel approaches for assessing KPIs, through development of indirect methods using remote-sensing technology, mobile devices for systematized site characterization, and establishment of empirical relationships among KPIs or between agronomic practices and KPIs.
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影响因子：
5.8
作者：
Calderini, DF;Slafer, GA
通讯作者：
Slafer, GA
影响因子：
5.1
作者：
Achandi, Esther L.;Mujawamariya, Gaudiose;Rodenburg, Jonne
通讯作者：
Rodenburg, Jonne
对经济和环境有效的水稻生产的替代性耕作和作物建立实践的全球分析。
影响因子：
4.6
作者：
Chakraborty D;Ladha JK;Rana DS;Jat ML;Gathala MK;Yadav S;Rao AN;Ramesha MS;Raman A
通讯作者：
Raman A
影响因子：
5.8
作者：
Dossou-Yovo, Elliott Ronald;Vandamme, Elke;Saito, Kazuki
通讯作者：
Saito, Kazuki
影响因子：
5.2
作者：
Haefele, SM;Wopereis, MCS;Maubuisson, J
通讯作者：
Maubuisson, J