Inter‐annual climate variability constrains rice genetic improvement in China

Abstract Yield potential has been significantly increased through hybrid rice breeding in the past, however, the genetic gain in grain yield is becoming marginal in recent years, especially in farmers’ field. The increase in climate variability is one potential reason for the stagnant rice grain yie...

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Autores principales: Xiaoxiao Li, Liying Huang, Shaobing Peng, Fei Wang
Formato: article
Lenguaje:EN
Publicado: Wiley 2021
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Acceso en línea:https://doaj.org/article/6684848cbe8a467fb2273b0e8f664bb2
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spelling oai:doaj.org-article:6684848cbe8a467fb2273b0e8f664bb22021-11-17T04:20:03ZInter‐annual climate variability constrains rice genetic improvement in China2048-369410.1002/fes3.299https://doaj.org/article/6684848cbe8a467fb2273b0e8f664bb22021-11-01T00:00:00Zhttps://doi.org/10.1002/fes3.299https://doaj.org/toc/2048-3694Abstract Yield potential has been significantly increased through hybrid rice breeding in the past, however, the genetic gain in grain yield is becoming marginal in recent years, especially in farmers’ field. The increase in climate variability is one potential reason for the stagnant rice grain yield. Moreover, overuse of nitrogen fertilizer and poor grain quality of hybrid rice reduce its advantage over inbred rice. The present study evaluated seventy‐eight elite hybrid varieties in 2014–2018 aiming to determine the climate variability and its influences on grain yield, nitrogen use efficiency (NUE), and grain protein content of the newly bred rice hybrid varieties simultaneously. It was found that daily maximum and minimum temperature, daily radiation varied significantly across planting years. The extreme differences for Tmax, Tmin, and radiation were 2.0°C, 1.5°C, and 3.6 MJ m−2 d−1, respectively. Overall, grain yield of 22 varieties was significantly increased in comparison to that of the control cultivar Yangliangyou6 (YLY6), which was closely dependent on the planting year. Grain yield of these elite varieties ranged from 9.69 to 11.97 t ha−1, and NUE for grain production (NUEg) from 47.3 to 60.9 kg kg−1. The inter‐annual variation in grain yield, NUEg, and grain protein content was significantly related to the average daily minimum temperature (Tmin), due to its effects on grain filling percentage and harvest index. Moreover, these three properties are mutually correlated for all varieties across five years: grain yield positively correlated with NUEg (R2 = 0.46) and negatively correlated with protein content (R2 = 0.32), whereas NUEg negatively related to protein content (R2 = 0.49). These results suggest that enhancing the adaptation to climate variability in hybrid rice breeding is essential and urgent for sustainable rice production in China.Xiaoxiao LiLiying HuangShaobing PengFei WangWileyarticlegrain yieldGreen super ricenighttime temperatureNUEAgricultureSAgriculture (General)S1-972ENFood and Energy Security, Vol 10, Iss 4, Pp n/a-n/a (2021)
institution DOAJ
collection DOAJ
language EN
topic grain yield
Green super rice
nighttime temperature
NUE
Agriculture
S
Agriculture (General)
S1-972
spellingShingle grain yield
Green super rice
nighttime temperature
NUE
Agriculture
S
Agriculture (General)
S1-972
Xiaoxiao Li
Liying Huang
Shaobing Peng
Fei Wang
Inter‐annual climate variability constrains rice genetic improvement in China
description Abstract Yield potential has been significantly increased through hybrid rice breeding in the past, however, the genetic gain in grain yield is becoming marginal in recent years, especially in farmers’ field. The increase in climate variability is one potential reason for the stagnant rice grain yield. Moreover, overuse of nitrogen fertilizer and poor grain quality of hybrid rice reduce its advantage over inbred rice. The present study evaluated seventy‐eight elite hybrid varieties in 2014–2018 aiming to determine the climate variability and its influences on grain yield, nitrogen use efficiency (NUE), and grain protein content of the newly bred rice hybrid varieties simultaneously. It was found that daily maximum and minimum temperature, daily radiation varied significantly across planting years. The extreme differences for Tmax, Tmin, and radiation were 2.0°C, 1.5°C, and 3.6 MJ m−2 d−1, respectively. Overall, grain yield of 22 varieties was significantly increased in comparison to that of the control cultivar Yangliangyou6 (YLY6), which was closely dependent on the planting year. Grain yield of these elite varieties ranged from 9.69 to 11.97 t ha−1, and NUE for grain production (NUEg) from 47.3 to 60.9 kg kg−1. The inter‐annual variation in grain yield, NUEg, and grain protein content was significantly related to the average daily minimum temperature (Tmin), due to its effects on grain filling percentage and harvest index. Moreover, these three properties are mutually correlated for all varieties across five years: grain yield positively correlated with NUEg (R2 = 0.46) and negatively correlated with protein content (R2 = 0.32), whereas NUEg negatively related to protein content (R2 = 0.49). These results suggest that enhancing the adaptation to climate variability in hybrid rice breeding is essential and urgent for sustainable rice production in China.
format article
author Xiaoxiao Li
Liying Huang
Shaobing Peng
Fei Wang
author_facet Xiaoxiao Li
Liying Huang
Shaobing Peng
Fei Wang
author_sort Xiaoxiao Li
title Inter‐annual climate variability constrains rice genetic improvement in China
title_short Inter‐annual climate variability constrains rice genetic improvement in China
title_full Inter‐annual climate variability constrains rice genetic improvement in China
title_fullStr Inter‐annual climate variability constrains rice genetic improvement in China
title_full_unstemmed Inter‐annual climate variability constrains rice genetic improvement in China
title_sort inter‐annual climate variability constrains rice genetic improvement in china
publisher Wiley
publishDate 2021
url https://doaj.org/article/6684848cbe8a467fb2273b0e8f664bb2
work_keys_str_mv AT xiaoxiaoli interannualclimatevariabilityconstrainsricegeneticimprovementinchina
AT liyinghuang interannualclimatevariabilityconstrainsricegeneticimprovementinchina
AT shaobingpeng interannualclimatevariabilityconstrainsricegeneticimprovementinchina
AT feiwang interannualclimatevariabilityconstrainsricegeneticimprovementinchina
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