作物学报
作物學報
작물학보
ACTA AGRONOMICA SINICA
2014年
11期
1936-1945
,共10页
棉花(Gossypium hirsutum L.)%GGE双标图%多性状%品种选择指数%理想试验环境%长江流域%区域试验
棉花(Gossypium hirsutum L.)%GGE雙標圖%多性狀%品種選擇指數%理想試驗環境%長江流域%區域試驗
면화(Gossypium hirsutum L.)%GGE쌍표도%다성상%품충선택지수%이상시험배경%장강류역%구역시험
Cotton (Gossypium hirsutum L.)%GGE biplot%Multiple traits%Cultivar selection index%Ideal test environment%Yangtze River Valley (YRaV)%Crop regional trial
农作物品种选育通常需要对多目标性状综合选择,依据育种目标性状和权重建立品种选择指数,选择遗传差异鉴别力强和目标环境代表性好的试验点,有助于提高品种选育的效率并降低实验成本。本研究依据国家棉花品种审定标准构建针对性和实用性强的品种选择指数,即SI =0.40′皮棉产量+0.13′纤维比强度+0.09′(纤维长度+马克隆值)+0.11′抗枯萎病+0.09′抗黄萎病+0.10′霜前花率,采用GGE双标图方法,对2000—2013年间39组(含585个单点试验)长江流域国家棉花区域试验中的15个试验点,综合评价品种选择指数的鉴别力、代表性和理想指数。结果表明,湖北黄冈和江苏南京试验环境被评为最理想的试验环境,湖北荆州、湖北武汉和江苏盐城为理想的试验环境,而河南南阳、湖北襄阳、湖南常德、四川简阳和四川射洪试验环境为不理想试验环境。可以看出,理想的试验环境均位于长江流域的中下游棉区,而不理想的试验环境中四川简阳和四川射洪位于上游的四川盆地、河南南阳和湖北襄阳位于长江流域北缘的南襄盆地、湖南常德虽然位于长江流域中游但栽培密度偏低。本研究构建的选择指数采用与国家棉花品种审定中品种评价准则相统一的目标性状和权重分配策略,理想试验环境对我国长江流域棉区的棉花生态育种试验点的选择提供了切实可行的决策方案。
農作物品種選育通常需要對多目標性狀綜閤選擇,依據育種目標性狀和權重建立品種選擇指數,選擇遺傳差異鑒彆力彊和目標環境代錶性好的試驗點,有助于提高品種選育的效率併降低實驗成本。本研究依據國傢棉花品種審定標準構建針對性和實用性彊的品種選擇指數,即SI =0.40′皮棉產量+0.13′纖維比彊度+0.09′(纖維長度+馬剋隆值)+0.11′抗枯萎病+0.09′抗黃萎病+0.10′霜前花率,採用GGE雙標圖方法,對2000—2013年間39組(含585箇單點試驗)長江流域國傢棉花區域試驗中的15箇試驗點,綜閤評價品種選擇指數的鑒彆力、代錶性和理想指數。結果錶明,湖北黃岡和江囌南京試驗環境被評為最理想的試驗環境,湖北荊州、湖北武漢和江囌鹽城為理想的試驗環境,而河南南暘、湖北襄暘、湖南常德、四川簡暘和四川射洪試驗環境為不理想試驗環境。可以看齣,理想的試驗環境均位于長江流域的中下遊棉區,而不理想的試驗環境中四川簡暘和四川射洪位于上遊的四川盆地、河南南暘和湖北襄暘位于長江流域北緣的南襄盆地、湖南常德雖然位于長江流域中遊但栽培密度偏低。本研究構建的選擇指數採用與國傢棉花品種審定中品種評價準則相統一的目標性狀和權重分配策略,理想試驗環境對我國長江流域棉區的棉花生態育種試驗點的選擇提供瞭切實可行的決策方案。
농작물품충선육통상수요대다목표성상종합선택,의거육충목표성상화권중건립품충선택지수,선택유전차이감별력강화목표배경대표성호적시험점,유조우제고품충선육적효솔병강저실험성본。본연구의거국가면화품충심정표준구건침대성화실용성강적품충선택지수,즉SI =0.40′피면산량+0.13′섬유비강도+0.09′(섬유장도+마극륭치)+0.11′항고위병+0.09′항황위병+0.10′상전화솔,채용GGE쌍표도방법,대2000—2013년간39조(함585개단점시험)장강류역국가면화구역시험중적15개시험점,종합평개품충선택지수적감별력、대표성화이상지수。결과표명,호북황강화강소남경시험배경피평위최이상적시험배경,호북형주、호북무한화강소염성위이상적시험배경,이하남남양、호북양양、호남상덕、사천간양화사천사홍시험배경위불이상시험배경。가이간출,이상적시험배경균위우장강류역적중하유면구,이불이상적시험배경중사천간양화사천사홍위우상유적사천분지、하남남양화호북양양위우장강류역북연적남양분지、호남상덕수연위우장강류역중유단재배밀도편저。본연구구건적선택지수채용여국가면화품충심정중품충평개준칙상통일적목표성상화권중분배책략,이상시험배경대아국장강류역면구적면화생태육충시험점적선택제공료절실가행적결책방안。
Crop breeding is an integrating selection for multiple desirable traits. Screening locations with high discriminating abil-ity and typical environments in light of cultivar selection index established by target traits and weights facilitates improving breeding efficiency and saving cost. Cultivar selection index was constructed on the basis of the national register criteria for cot-ton variety, namely, SI = 0.40 ′ lint cotton yield + 0.13 ′ fiber strength + 0.09 ′ (fiber length + micronaire value) + 0.11 ′Fusarium wilt+0.09′Verticillium wilt+0.10′harvesting ratio of seed cotton before frost. GGE biplot method was adopted to evaluate the identification, representativeness, and ideal index of cultivar selection index by using 15 locations data from 39 sets of national cotton variety regional trials including 585 trials in the Yangtze River Valley (YaRV) during 2000–2013. The results showed that Huanggang in Hubei Province and Nanjing in Jiangsu Province were evaluated as the most desirable trial locations;Jingzhou and Wuhan in Hubei Province and Yancheng in Jiangsu Province were desirable trial locations;while Nanyang in Henan Province, Xiangyang in Hubei Province, Changde in Hunan Province, Jianyang and Shehong in Sichuan Province were consid-ered as undesirable locations for cotton cultivar selection. The ideal environments were all located in the Middle and Lower Reaches of YaRV, while the undesirable locations included Jianyang and Shehong in the Sichuan basin in the upper reaches of YaRV, and Nanyang and Xiangyang in Nan-Xiang Basin at the northern border of YaRV. Changde in Hunan Province was also considered as undesirable location although it is located in the Middle Reaches of YaRV, probably because of the significantly low plant density used in the farming. In conclusion, this study has established a feasible selection index according to the national cotton registration criteria, and identified desirable test locations for reliable and effective variety evaluation in the area of YaRV. This study is an example of test location evaluation utilizing historical data for the similar studies in other regions and for other crops.