Spatial patterns and key driving factors of wheat harvest index under irrigation and rainfed conditions in arid regions
IntroductionThe harvest index (HI), a crucial agronomic trait that measures the ratio of grain yield to aboveground biomass, serves not only as a vital indicator for assessing wheat yield but also as a core parameter for predicting straw resource. It reflects the "source-sink" relationship...
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Frontiers Media S.A.
2025-06-01
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| Series: | Frontiers in Plant Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpls.2025.1614204/full |
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| author | Yongyu Chen Yongyu Chen Hengbati Wutanbieke Dongdong Zhong Dongdong Zhong Jian Chen Jian Chen Zhen Huo Zhen Huo Hegan Dong Hegan Dong |
| author_facet | Yongyu Chen Yongyu Chen Hengbati Wutanbieke Dongdong Zhong Dongdong Zhong Jian Chen Jian Chen Zhen Huo Zhen Huo Hegan Dong Hegan Dong |
| author_sort | Yongyu Chen |
| collection | DOAJ |
| description | IntroductionThe harvest index (HI), a crucial agronomic trait that measures the ratio of grain yield to aboveground biomass, serves not only as a vital indicator for assessing wheat yield but also as a core parameter for predicting straw resource. It reflects the "source-sink" relationship and biomass allocation strategies in crops. However, the spatial distribution patterns of wheat HI and their key driving factors in arid regions remain unclear.MethodsThis study was conducted in Xinjiang, a typical arid region of China, during 2022–2023, involving two years of large-scale systematic sampling. By integrating multidimensional factors such as geographical and climatic conditions, agronomic management practices, and soil nutrient status, methods including correlation analysis, random forest models, structural equation modeling, and linear regression analysis were employed to systematically investigate the spatial distribution characteristics and driving mechanisms of wheat HI under different irrigation regimes in arid regions.ResultsThe results revealed that: (1) Wheat HI in arid regions exhibited significant spatial heterogeneity (0.43–0.67), with an overall distribution pattern of "central high, peripheral low" and "northern high, southern low." (2) The importance rankings of influencing factors differed between irrigation regimes. For irrigated wheat, the order of importance was: Geographic-climatic factors, soil nutrient factors, agronomic management factors. Comprehensive analysis identified longitude (lon), plant height (H), latitude (lat), and bulk density (BD) as the key drivers of the Harvest Index (HI) in irrigated wheat. In contrast, for rainfed wheat, the order was: soil nutrient factors, Geographic-climatic factors, agronomic management factors, with total nitrogen (TN), available phosphorus(AP), total potassium(TK), and total phosphorus (TP) emerging as critical drivers of HI.DiscussionIrrigation significantly enhanced wheat HI (p < 0.01), and irrigated wheat demonstrated significantly higher HI, yield, and aboveground biomass (AGB) compared to rainfed wheat (p < 0.01). Optimizing phosphorus management could enhance HI in both systems, while irrigation infrastructure development remains vital for yield stability. This study provides a theoretical basis and practical guidance for the synergistic multi-objective approach of “yield increase-irrigation-sustainability” in arid regions wheat production. |
| format | Article |
| id | doaj-art-53c112d2fe5f40d49e6b02b47c332aeb |
| institution | Kabale University |
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| language | English |
| publishDate | 2025-06-01 |
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| spelling | doaj-art-53c112d2fe5f40d49e6b02b47c332aeb2025-08-20T03:45:45ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2025-06-011610.3389/fpls.2025.16142041614204Spatial patterns and key driving factors of wheat harvest index under irrigation and rainfed conditions in arid regionsYongyu Chen0Yongyu Chen1Hengbati Wutanbieke2Dongdong Zhong3Dongdong Zhong4Jian Chen5Jian Chen6Zhen Huo7Zhen Huo8Hegan Dong9Hegan Dong10College of Life Sciences, Shihezi University, Shihezi, Xinjiang, ChinaXinjiang Production and Construction Corps Key Laboratory of Oasis Town and Mountain, Basin System Ecology, Shihezi University, Shihezi, Xinjiang, ChinaDepartment of Agriculture and Rural Affairs of Xinjiang, Wulumuqi, Xinjiang, ChinaCollege of Life Sciences, Shihezi University, Shihezi, Xinjiang, ChinaXinjiang Production and Construction Corps Key Laboratory of Oasis Town and Mountain, Basin System Ecology, Shihezi University, Shihezi, Xinjiang, ChinaCollege of Life Sciences, Shihezi University, Shihezi, Xinjiang, ChinaXinjiang Production and Construction Corps Key Laboratory of Oasis Town and Mountain, Basin System Ecology, Shihezi University, Shihezi, Xinjiang, ChinaCollege of Life Sciences, Shihezi University, Shihezi, Xinjiang, ChinaXinjiang Production and Construction Corps Key Laboratory of Oasis Town and Mountain, Basin System Ecology, Shihezi University, Shihezi, Xinjiang, ChinaCollege of Life Sciences, Shihezi University, Shihezi, Xinjiang, ChinaXinjiang Production and Construction Corps Key Laboratory of Oasis Town and Mountain, Basin System Ecology, Shihezi University, Shihezi, Xinjiang, ChinaIntroductionThe harvest index (HI), a crucial agronomic trait that measures the ratio of grain yield to aboveground biomass, serves not only as a vital indicator for assessing wheat yield but also as a core parameter for predicting straw resource. It reflects the "source-sink" relationship and biomass allocation strategies in crops. However, the spatial distribution patterns of wheat HI and their key driving factors in arid regions remain unclear.MethodsThis study was conducted in Xinjiang, a typical arid region of China, during 2022–2023, involving two years of large-scale systematic sampling. By integrating multidimensional factors such as geographical and climatic conditions, agronomic management practices, and soil nutrient status, methods including correlation analysis, random forest models, structural equation modeling, and linear regression analysis were employed to systematically investigate the spatial distribution characteristics and driving mechanisms of wheat HI under different irrigation regimes in arid regions.ResultsThe results revealed that: (1) Wheat HI in arid regions exhibited significant spatial heterogeneity (0.43–0.67), with an overall distribution pattern of "central high, peripheral low" and "northern high, southern low." (2) The importance rankings of influencing factors differed between irrigation regimes. For irrigated wheat, the order of importance was: Geographic-climatic factors, soil nutrient factors, agronomic management factors. Comprehensive analysis identified longitude (lon), plant height (H), latitude (lat), and bulk density (BD) as the key drivers of the Harvest Index (HI) in irrigated wheat. In contrast, for rainfed wheat, the order was: soil nutrient factors, Geographic-climatic factors, agronomic management factors, with total nitrogen (TN), available phosphorus(AP), total potassium(TK), and total phosphorus (TP) emerging as critical drivers of HI.DiscussionIrrigation significantly enhanced wheat HI (p < 0.01), and irrigated wheat demonstrated significantly higher HI, yield, and aboveground biomass (AGB) compared to rainfed wheat (p < 0.01). Optimizing phosphorus management could enhance HI in both systems, while irrigation infrastructure development remains vital for yield stability. This study provides a theoretical basis and practical guidance for the synergistic multi-objective approach of “yield increase-irrigation-sustainability” in arid regions wheat production.https://www.frontiersin.org/articles/10.3389/fpls.2025.1614204/fullarid region wheatharvest index (HI)irrigationspatial heterogeneitydriving factors |
| spellingShingle | Yongyu Chen Yongyu Chen Hengbati Wutanbieke Dongdong Zhong Dongdong Zhong Jian Chen Jian Chen Zhen Huo Zhen Huo Hegan Dong Hegan Dong Spatial patterns and key driving factors of wheat harvest index under irrigation and rainfed conditions in arid regions Frontiers in Plant Science arid region wheat harvest index (HI) irrigation spatial heterogeneity driving factors |
| title | Spatial patterns and key driving factors of wheat harvest index under irrigation and rainfed conditions in arid regions |
| title_full | Spatial patterns and key driving factors of wheat harvest index under irrigation and rainfed conditions in arid regions |
| title_fullStr | Spatial patterns and key driving factors of wheat harvest index under irrigation and rainfed conditions in arid regions |
| title_full_unstemmed | Spatial patterns and key driving factors of wheat harvest index under irrigation and rainfed conditions in arid regions |
| title_short | Spatial patterns and key driving factors of wheat harvest index under irrigation and rainfed conditions in arid regions |
| title_sort | spatial patterns and key driving factors of wheat harvest index under irrigation and rainfed conditions in arid regions |
| topic | arid region wheat harvest index (HI) irrigation spatial heterogeneity driving factors |
| url | https://www.frontiersin.org/articles/10.3389/fpls.2025.1614204/full |
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