Jiayi Kang , Xiaotian Mi , Lei Fan , Zhaohui Wang , Gang He
{"title":"Nitrogen fertilizer and high-protein varieties work together to increase wheat grain protein concentration and yield","authors":"Jiayi Kang , Xiaotian Mi , Lei Fan , Zhaohui Wang , Gang He","doi":"10.1016/j.agsy.2025.104510","DOIUrl":null,"url":null,"abstract":"<div><h3>Context</h3><div>Meeting humanity's growing grain protein needs is the top priority for food production, and although the formation of grain protein in plants is a complex and integrated process, some specific crop management practices may play a dominant role. Few studies have been data-driven to quantitatively assess the benefits of crop management practices on wheat grain protein on a national scale.</div></div><div><h3>Objectives</h3><div>To fill this gap, we quantified the total national benefits of crop management practice on wheat grain protein and estimated for the first time the productivity of China's wheat grain protein in 2030.</div></div><div><h3>Methods</h3><div>A meta-analysis was performed by compiling 5819 pairs of observations related to crop management practices and wheat grain protein, and a large-scale farmer survey was conducted from 2010 to 2020 to understand the current status of smallholder wheat production and to predict further trends using the Random Forest model.</div></div><div><h3>Results and conclusions</h3><div>Results showed that the concentration and yield of grain protein increased by 2.6–6.9 % and 9.4–13.2 % for topdressing, and 9.1 % and 6.7 % for high-protein variety, but decreased by 5.3 % and 8.5 % for optimized nitrogen (N) fertilizer rate, respectively. The RF model showed that eleven key predictors from crop management practices and soil-climate factors accounted for 84 % of the effect on wheat grain protein, with N fertilizer management and wheat varieties making the largest contributions. Using this data-driven approach, we estimated that China's grain protein production would increase from 18.6 to 19.8 Mt. with a 14 % reduction in N use through optimized N fertilizer management and the use of higher gluten wheat varieties under future climate change. Optimized N fertilizer management and the adoption of high-protein variety are the most important approaches to simultaneously improve grain yield and protein concentration.</div></div><div><h3>Significance</h3><div>Our findings fill a gap in national estimates of wheat grain protein production and highlight the importance of strategic crop management practices for nutritional security.</div></div>","PeriodicalId":7730,"journal":{"name":"Agricultural Systems","volume":"231 ","pages":"Article 104510"},"PeriodicalIF":6.1000,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agricultural Systems","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0308521X25002501","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Context
Meeting humanity's growing grain protein needs is the top priority for food production, and although the formation of grain protein in plants is a complex and integrated process, some specific crop management practices may play a dominant role. Few studies have been data-driven to quantitatively assess the benefits of crop management practices on wheat grain protein on a national scale.
Objectives
To fill this gap, we quantified the total national benefits of crop management practice on wheat grain protein and estimated for the first time the productivity of China's wheat grain protein in 2030.
Methods
A meta-analysis was performed by compiling 5819 pairs of observations related to crop management practices and wheat grain protein, and a large-scale farmer survey was conducted from 2010 to 2020 to understand the current status of smallholder wheat production and to predict further trends using the Random Forest model.
Results and conclusions
Results showed that the concentration and yield of grain protein increased by 2.6–6.9 % and 9.4–13.2 % for topdressing, and 9.1 % and 6.7 % for high-protein variety, but decreased by 5.3 % and 8.5 % for optimized nitrogen (N) fertilizer rate, respectively. The RF model showed that eleven key predictors from crop management practices and soil-climate factors accounted for 84 % of the effect on wheat grain protein, with N fertilizer management and wheat varieties making the largest contributions. Using this data-driven approach, we estimated that China's grain protein production would increase from 18.6 to 19.8 Mt. with a 14 % reduction in N use through optimized N fertilizer management and the use of higher gluten wheat varieties under future climate change. Optimized N fertilizer management and the adoption of high-protein variety are the most important approaches to simultaneously improve grain yield and protein concentration.
Significance
Our findings fill a gap in national estimates of wheat grain protein production and highlight the importance of strategic crop management practices for nutritional security.
期刊介绍:
Agricultural Systems is an international journal that deals with interactions - among the components of agricultural systems, among hierarchical levels of agricultural systems, between agricultural and other land use systems, and between agricultural systems and their natural, social and economic environments.
The scope includes the development and application of systems analysis methodologies in the following areas:
Systems approaches in the sustainable intensification of agriculture; pathways for sustainable intensification; crop-livestock integration; farm-level resource allocation; quantification of benefits and trade-offs at farm to landscape levels; integrative, participatory and dynamic modelling approaches for qualitative and quantitative assessments of agricultural systems and decision making;
The interactions between agricultural and non-agricultural landscapes; the multiple services of agricultural systems; food security and the environment;
Global change and adaptation science; transformational adaptations as driven by changes in climate, policy, values and attitudes influencing the design of farming systems;
Development and application of farming systems design tools and methods for impact, scenario and case study analysis; managing the complexities of dynamic agricultural systems; innovation systems and multi stakeholder arrangements that support or promote change and (or) inform policy decisions.