Exploring the allometry between ear saturated water accumulation and dry mass for diagnosing winter wheat water status during the reproductive growth
The ear, which begins to form and develop during the reproductive growth phase, relies on maintaining a normal water status for its formation, grain filling, and overall yield. Accurate diagnosis of water status during the reproductive growth phase is imperative for achieving precision water managem...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-03-01
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| Series: | Agricultural Water Management |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0378377425000782 |
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| author | Tingxuan Zhuang Ben Zhao Syed Tahir Ata-Ul-Karim Gilles Lemaire Xiaojun Liu Yongchao Tian Yan Zhu Weixing Cao Qiang Cao |
| author_facet | Tingxuan Zhuang Ben Zhao Syed Tahir Ata-Ul-Karim Gilles Lemaire Xiaojun Liu Yongchao Tian Yan Zhu Weixing Cao Qiang Cao |
| author_sort | Tingxuan Zhuang |
| collection | DOAJ |
| description | The ear, which begins to form and develop during the reproductive growth phase, relies on maintaining a normal water status for its formation, grain filling, and overall yield. Accurate diagnosis of water status during the reproductive growth phase is imperative for achieving precision water management in winter wheat cultivation. Previous studies used the allometric relationship between plant dry mass (PDM) and plant saturated water accumulation (SWAP) to develop critical SWAP curves, which were employed to assess the water status of winter wheat and maize during their vegetative growth phase. However, it remains uncertain whether this method is applicable to the ear of winter wheat during its reproductive growth phase. The study focused on developing and validating a model to quantify the water status of winter wheat during reproductive growth phase by using critical ear saturated water accumulation (SWAE) curves and water diagnostic index (WDI) based on ear, and to analyze the effect of water-nitrogen interaction on it. Field experiments involving four water and two nitrogen treatments were conducted from 2019 to 2023 to determine the relationship between ear dry mass (EDM) and SWAE during the reproductive growth phase of winter wheat. The impact of water-nitrogen interaction on EDM-SWAE allometry was also analyzed. In addition, the ear WDI was defined as the ratio of the actual SWAE value to the critical SWAE value under the same EDM. The critical SWAE curves under nitrogen limited (N1) and non-nitrogen limited (N2) conditions were constructed (N1: SWAE = 3.53EDM0.48; N2: SWAE = 4.53EDM0.47). Nitrogen deficiency lowered the SWAE value at the same EDM, but it did not impact its accumulation rate. The indirect soil nitrogen deficiency, reduction of grain number per ear and early grain filling caused by drought were the three main factors leading to the decrease of ear WDI. The ear WDI effectively distinguishes varying degrees of water stress; however, it is essential to minimize errors resulting from its uncertainty before application. These findings will provide valuable insights into the water status of winter wheat under varying water and nitrogen conditions during the reproductive growth phase. Additionally, they will serve as a foundation for advancing future research on precise irrigation strategies. |
| format | Article |
| id | doaj-art-64414d53db1c4af8a5addc05eeea8624 |
| institution | Kabale University |
| issn | 1873-2283 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Agricultural Water Management |
| spelling | doaj-art-64414d53db1c4af8a5addc05eeea86242025-02-10T04:34:13ZengElsevierAgricultural Water Management1873-22832025-03-01309109364Exploring the allometry between ear saturated water accumulation and dry mass for diagnosing winter wheat water status during the reproductive growthTingxuan Zhuang0Ben Zhao1Syed Tahir Ata-Ul-Karim2Gilles Lemaire3Xiaojun Liu4Yongchao Tian5Yan Zhu6Weixing Cao7Qiang Cao8National Engineering and Technology Center for Information Agriculture, MOE Engineering and Research Center for Smart Agriculture, MARA Key Laboratory for Crop System Analysis and Decision Making, Jiangsu Key Laboratory for Information Agriculture, Collaborative Innovation Centre for Modern Crop Production Co-sponsored by Province and Ministry, Nanjing Agricultural University, Nanjing 210095, ChinaHenan Agricultural University, Zhengzhou 450002, ChinaDepartment of Agroecology, Climate and Water, Aarhus University, Tjele 8830, DenmarkHonorary Director of Research, INRAE, Lusignan 86600, FranceNational Engineering and Technology Center for Information Agriculture, MOE Engineering and Research Center for Smart Agriculture, MARA Key Laboratory for Crop System Analysis and Decision Making, Jiangsu Key Laboratory for Information Agriculture, Collaborative Innovation Centre for Modern Crop Production Co-sponsored by Province and Ministry, Nanjing Agricultural University, Nanjing 210095, ChinaNational Engineering and Technology Center for Information Agriculture, MOE Engineering and Research Center for Smart Agriculture, MARA Key Laboratory for Crop System Analysis and Decision Making, Jiangsu Key Laboratory for Information Agriculture, Collaborative Innovation Centre for Modern Crop Production Co-sponsored by Province and Ministry, Nanjing Agricultural University, Nanjing 210095, ChinaNational Engineering and Technology Center for Information Agriculture, MOE Engineering and Research Center for Smart Agriculture, MARA Key Laboratory for Crop System Analysis and Decision Making, Jiangsu Key Laboratory for Information Agriculture, Collaborative Innovation Centre for Modern Crop Production Co-sponsored by Province and Ministry, Nanjing Agricultural University, Nanjing 210095, ChinaNational Engineering and Technology Center for Information Agriculture, MOE Engineering and Research Center for Smart Agriculture, MARA Key Laboratory for Crop System Analysis and Decision Making, Jiangsu Key Laboratory for Information Agriculture, Collaborative Innovation Centre for Modern Crop Production Co-sponsored by Province and Ministry, Nanjing Agricultural University, Nanjing 210095, ChinaNational Engineering and Technology Center for Information Agriculture, MOE Engineering and Research Center for Smart Agriculture, MARA Key Laboratory for Crop System Analysis and Decision Making, Jiangsu Key Laboratory for Information Agriculture, Collaborative Innovation Centre for Modern Crop Production Co-sponsored by Province and Ministry, Nanjing Agricultural University, Nanjing 210095, China; Corresponding author.The ear, which begins to form and develop during the reproductive growth phase, relies on maintaining a normal water status for its formation, grain filling, and overall yield. Accurate diagnosis of water status during the reproductive growth phase is imperative for achieving precision water management in winter wheat cultivation. Previous studies used the allometric relationship between plant dry mass (PDM) and plant saturated water accumulation (SWAP) to develop critical SWAP curves, which were employed to assess the water status of winter wheat and maize during their vegetative growth phase. However, it remains uncertain whether this method is applicable to the ear of winter wheat during its reproductive growth phase. The study focused on developing and validating a model to quantify the water status of winter wheat during reproductive growth phase by using critical ear saturated water accumulation (SWAE) curves and water diagnostic index (WDI) based on ear, and to analyze the effect of water-nitrogen interaction on it. Field experiments involving four water and two nitrogen treatments were conducted from 2019 to 2023 to determine the relationship between ear dry mass (EDM) and SWAE during the reproductive growth phase of winter wheat. The impact of water-nitrogen interaction on EDM-SWAE allometry was also analyzed. In addition, the ear WDI was defined as the ratio of the actual SWAE value to the critical SWAE value under the same EDM. The critical SWAE curves under nitrogen limited (N1) and non-nitrogen limited (N2) conditions were constructed (N1: SWAE = 3.53EDM0.48; N2: SWAE = 4.53EDM0.47). Nitrogen deficiency lowered the SWAE value at the same EDM, but it did not impact its accumulation rate. The indirect soil nitrogen deficiency, reduction of grain number per ear and early grain filling caused by drought were the three main factors leading to the decrease of ear WDI. The ear WDI effectively distinguishes varying degrees of water stress; however, it is essential to minimize errors resulting from its uncertainty before application. These findings will provide valuable insights into the water status of winter wheat under varying water and nitrogen conditions during the reproductive growth phase. Additionally, they will serve as a foundation for advancing future research on precise irrigation strategies.http://www.sciencedirect.com/science/article/pii/S0378377425000782Water diagnosis indexEar water accumulationCritical curveUncertainty analysisPrecision water management |
| spellingShingle | Tingxuan Zhuang Ben Zhao Syed Tahir Ata-Ul-Karim Gilles Lemaire Xiaojun Liu Yongchao Tian Yan Zhu Weixing Cao Qiang Cao Exploring the allometry between ear saturated water accumulation and dry mass for diagnosing winter wheat water status during the reproductive growth Agricultural Water Management Water diagnosis index Ear water accumulation Critical curve Uncertainty analysis Precision water management |
| title | Exploring the allometry between ear saturated water accumulation and dry mass for diagnosing winter wheat water status during the reproductive growth |
| title_full | Exploring the allometry between ear saturated water accumulation and dry mass for diagnosing winter wheat water status during the reproductive growth |
| title_fullStr | Exploring the allometry between ear saturated water accumulation and dry mass for diagnosing winter wheat water status during the reproductive growth |
| title_full_unstemmed | Exploring the allometry between ear saturated water accumulation and dry mass for diagnosing winter wheat water status during the reproductive growth |
| title_short | Exploring the allometry between ear saturated water accumulation and dry mass for diagnosing winter wheat water status during the reproductive growth |
| title_sort | exploring the allometry between ear saturated water accumulation and dry mass for diagnosing winter wheat water status during the reproductive growth |
| topic | Water diagnosis index Ear water accumulation Critical curve Uncertainty analysis Precision water management |
| url | http://www.sciencedirect.com/science/article/pii/S0378377425000782 |
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