Lessons from natural variations: artificially induced heading date variations for improvement of regional adaptation in rice

Hu, Yong; Li, Shuangle; Xing, Yongzhong

doi:10.1007/s00122-018-3225-0

Cited by 28 publications

(17 citation statements)

References 35 publications

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“…Organization, Institute of Agricultural Machinery, 1-31-1 Kannondai, Tsukuba, 3050856, Ibaraki, Japan. 4…”

Section: Declarationsmentioning

confidence: 99%

“…For instance, growth stage information has been used to determine the genetic locus which affects the regional adaptation in rice [3]. Genetic modifications have been proposed to artificially control the heading date in rice crops [4]. Flowering time has been controlled experimentally to enable production of crops suitable for different climates [5,6].…”

Section: Introductionmentioning

confidence: 99%

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Automatic estimation of heading date of paddy rice using deep learning

et al. 2019

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Background Accurate estimation of heading date of paddy rice greatly helps the breeders to understand the adaptability of different crop varieties in a given location. The heading date also plays a vital role in determining grain yield for research experiments. Visual examination of the crop is laborious and time consuming. Therefore, quick and precise estimation of heading date of paddy rice is highly essential. Results In this work, we propose a simple pipeline to detect regions containing flowering panicles from ground level RGB images of paddy rice. Given a fixed region size for an image, the number of regions containing flowering panicles is directly proportional to the number of flowering panicles present. Consequently, we use the flowering panicle region counts to estimate the heading date of the crop. The method is based on image classification using Convolutional Neural Networks. We evaluated the performance of our algorithm on five time series image sequences of three different varieties of rice crops. When compared to the previous work on this dataset, the accuracy and general versatility of the method has been improved and heading date has been estimated with a mean absolute error of less than 1 day. Conclusion An efficient heading date estimation method has been described for rice crops using time series RGB images of crop under natural field conditions. This study demonstrated that our method can reliably be used as a replacement of manual observation to detect the heading date of rice crops. Electronic supplementary material The online version of this article (10.1186/s13007-019-0457-1) contains supplementary material, which is available to authorized users.

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“…Organization, Institute of Agricultural Machinery, 1-31-1 Kannondai, Tsukuba, 3050856, Ibaraki, Japan. 4…”

Section: Declarationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Automatic estimation of heading date of paddy rice using deep learning

et al. 2019

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“…Heading date in crop species is a major factor limiting species range. Variation in heading date is determined by the response to seasonal cues from changing environmental factors including day length and temperature (Blümel et al 2015, Hill and Li 2016, Hu et al 2019. Expanding species range is a major goal in food supply for growing populations worldwide and under conditions of global warming for crop breeding programs.…”

Section: Introductionmentioning

confidence: 99%

A novel genotype DATTO5 developed using the five genes exhibits the fastest heading date designed in rice

Fujino

Ikegaya

2020

Breed. Sci.

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The optimization of heading date is a key aspect for maximizing grain productivity in cereal crops including rice. The combinations of genes for heading date, a quantitative trait, are a major driver in the wide adaptability of cultivated rice worldwide. Here, we identified a novel QTL, qDTH3 (quantitative trait locus for daysto-heading on chromosome 3), for early flowering time in the F 2 population derived from a cross between Hoshinoyume (HS) and Daichinohoshi (DH) among local rice populations with extremely early heading date. The DH allele at qDTH3, qDTH3 DH , headed 2.7 days earlier than the HS allele at qDTH3, qDTH3 HS. We sought to design a genotype for earlier heading date by pyramiding of five heading date genes. We designated this aggregate of the five genes as DATTO5. Plants with DATTO5 were selected from the F 2 population derived from a cross between DH and HShd5, which is a near-isogenic line carrying a loss-of-function of days to heading 8 in a genetic background of HS. Plants with DATTO5 exhibited earlier heading date but reduced fitness, including shorter culm and panicle length and fewer seeds compared with HS, as a representative local rice variety with extremely early heading date.

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“…Heading date in crop species is a limiting factor of species range and cropping season. Variations in the heading date are determined by the response to seasonal cues from changing environmental factors, including day length and temperature ( Blümel et al 2015 , Fujino et al 2019a , Hill and Li 2016 , Hu et al 2019 ). Expanding the species range is a major goal for crop breeding programs in improving the food supply for the growing worldwide population and under the conditions of global warming.…”

Section: Introductionmentioning

confidence: 99%

Days to heading, controlled by the heading date genes, <i>Hd1</i> and <i>DTH8</i>, limits rice yield-related traits in Hokkaido, Japan

Fujino

2020

Breed. Sci.

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A key aspect of rice breeding programs is the optimization of days to heading (DTH) for maximizing grain productivity in cultivation areas. Here, the effects of genotypes for heading date on yield-related traits in rice (culm and panicle length (CL and PL), panicle number (PN), and total number of seeds) were investigated. Heading date 1 ( Hd1 ) and Days to heading 8 ( DTH8 ) are the main controllers of the variation in heading date in the rice population of Hokkaido, Japan. Thus, an F 2 population (n = 192) derived from a cross between Kitaibuki ( Hd1dth8 ) and Akage ( hd1DTH8 ) was developed. Significant differences in DTH were found among all combinations. Each genotype for heading date showed variations in the yield-related traits without a significant difference. However, DTH exhibited high positive coefficient values (more than 0.709) with the yield-related traits except for PN, which had a negative coefficient value of –0.431. A later heading date resulted in a longer growth duration and a higher yield with a combination of longer PL and CL and lower PN. These results suggest that DTH limits the yield-related traits rather than the genotype for heading date.

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Lessons from natural variations: artificially induced heading date variations for improvement of regional adaptation in rice

Cited by 28 publications

References 35 publications

Automatic estimation of heading date of paddy rice using deep learning

Automatic estimation of heading date of paddy rice using deep learning

A novel genotype DATTO5 developed using the five genes exhibits the fastest heading date designed in rice

Days to heading, controlled by the heading date genes, <i>Hd1</i> and <i>DTH8</i>, limits rice yield-related traits in Hokkaido, Japan

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