Manipulation and prediction of spike morphology traits for the improvement of grain yield in wheat.
Manipulation and prediction of spike morphology traits for the improvement of grain yield in wheat.
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DOI：
10.1038/s41598-018-31977-3
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发表时间：
2018-09-26
影响因子：
4.6
通讯作者：
Schnurbusch T
中科院分区：
文献类型：
--
作者：
Guo Z;Zhao Y;Röder MS;Reif JC;Ganal MW;Chen D;Schnurbusch T
在小麦（Triticum spp.）中，改变花序（穗）形态可以增加籽粒数和大小，从而提高产量。在这里，我们展示了操纵和预测穗形态的潜力，基于44个性状。在12个小麦品种中，我们观察到脱茎改变了光合产物的分布，从而改变了穗的形态。我们的全基因组关联研究发现，210个品种的碳分配（如分蘖数、主茎干重）与穗形态（如穗长、小穗密度）性状密切相关。大部分碳分配性状（分蘖干重、收获指数）具有较高的预测能力（>.5）。对于穗形性状，部分性状（如总穗数、可育穗数、穗长）具有较高的预测能力（0.3 ~ 0.5），而其他性状（如育性、穗密度）具有较低的预测能力（<0.2）。在田间和温室试验中，籽粒大小性状密切相关。逐步回归分析表明，温室内显著相关性状对产量变化的贡献率为35.35%，对千粒重变化的贡献率为67.63%。因此，本研究鉴定的性状影响穗形态；这些性状可用于预测和改善植株结构，从而提高产量。
In wheat (Triticum spp.), modifying inflorescence (spike) morphology can increase grain number and size and thus improve yield. Here, we demonstrated the potential for manipulating and predicting spike morphology, based on 44 traits. In 12 wheat cultivars, we observed that detillering (removal of branches), which alters photosynthate distribution, changed spike morphology. Our genome-wide association study detected close associations between carbon partitioning (e.g. tiller number, main shoot dry weight) and spike morphology (e.g. spike length, spikelet density) traits in 210 cultivars. Most carbon-partitioning traits (e.g. tiller dry weight, harvest index) demonstrated high prediction abilities (>0.5). For spike morphology, some traits (e.g. total and fertile spikelet number, spike length) displayed high prediction abilities (0.3–0.5), but others (e.g. spikelet fertility, spikelet density) exhibited low prediction abilities (<0.2). Grain size traits were closely correlated in field and greenhouse experiments. Stepwise regression analysis suggests that significantly associated traits in the greenhouse explain 35.35% of the variation in grain yield and 67.63% of the variation in thousand-kernel weight in the field. Therefore, the traits identified in this study affect spike morphology; these traits can be used to predict and improve plant architecture and thus increase yield.
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DOI：
10.1073/pnas.1709171114
发表时间：
2017-08-15
影响因子：
11.1
作者：
Huang, Chi-Fa;Yu, Chun-Ping;Li, Wen-Hsiung
通讯作者：
Li, Wen-Hsiung
影响因子：
7.4
作者：
Kebrom, Tesfamichael H.;Chandler, Peter M.;Spielmeyer, Wolfgang
通讯作者：
Spielmeyer, Wolfgang
影响因子：
2.3
作者：
Gonzalez, F. G.;Terrile, I. I.;Falcon, M. O.
通讯作者：
Falcon, M. O.
影响因子：
3.7
作者：
Kollers S;Rodemann B;Ling J;Korzun V;Ebmeyer E;Argillier O;Hinze M;Plieske J;Kulosa D;Ganal MW;Röder MS
通讯作者：
Röder MS
影响因子：
5.4
作者：
Beales, James;Turner, Adrian;Laurie, David A.
通讯作者：
Laurie, David A.