麦类作物学报
麥類作物學報
맥류작물학보
JOURNAL OF TRITICEAE CROPS
2009年
6期
1055-1059
,共5页
赖运平%李俊%张泽全%董雪芳%刘新春%魏会廷%胡晓蓉%彭正松%杨武云
賴運平%李俊%張澤全%董雪芳%劉新春%魏會廷%鬍曉蓉%彭正鬆%楊武雲
뢰운평%리준%장택전%동설방%류신춘%위회정%호효용%팽정송%양무운
小麦%抗旱系数%灰色关联分析%聚类分析
小麥%抗旱繫數%灰色關聯分析%聚類分析
소맥%항한계수%회색관련분석%취류분석
Wheat%Drought coefficient%Grey correlation analysis%Cluster analysis
为了系统研究小麦苗期形态指标与抗旱性的关系并筛选有效的抗旱性指标,使用PEG-6000模拟干旱胁迫,采用灰色关联度分析法分析了28份小麦品种苗期干旱胁迫下的苗高、最长根长、根数、地上部鲜重、地上部干重、根鲜重、根干重、叶片数、根冠比等9个形态指标与抗旱系数的关联程度,并以所得加权抗旱系数对各品种进行聚类分析.结果显示,各形态指标与抗旱系数的关联度依次为:叶片数(0.817)>苗高(0.766)>地上部干重(0.746)>地上部鲜重(0.729)>根数(0.699)>根干重(0.688)>根鲜重(0.681)>根冠比(0.645)>最长根长(0.399).研究还表明,9个形态指标可分为叶片相关因子、地上部生物量因子和根部生物量因子三大类,地上部生物量因子的关联度大于根部生物量因子;不能只通过差异显著度检验来判断某一指标是否可以用作抗旱性鉴定;聚类结果能较好地反映各小麦品种的地域分布.因此,进行小麦品种苗期抗旱性鉴定时,应加强对地上部形态指标的选择和鉴定,以提高选择效率.
為瞭繫統研究小麥苗期形態指標與抗旱性的關繫併篩選有效的抗旱性指標,使用PEG-6000模擬榦旱脅迫,採用灰色關聯度分析法分析瞭28份小麥品種苗期榦旱脅迫下的苗高、最長根長、根數、地上部鮮重、地上部榦重、根鮮重、根榦重、葉片數、根冠比等9箇形態指標與抗旱繫數的關聯程度,併以所得加權抗旱繫數對各品種進行聚類分析.結果顯示,各形態指標與抗旱繫數的關聯度依次為:葉片數(0.817)>苗高(0.766)>地上部榦重(0.746)>地上部鮮重(0.729)>根數(0.699)>根榦重(0.688)>根鮮重(0.681)>根冠比(0.645)>最長根長(0.399).研究還錶明,9箇形態指標可分為葉片相關因子、地上部生物量因子和根部生物量因子三大類,地上部生物量因子的關聯度大于根部生物量因子;不能隻通過差異顯著度檢驗來判斷某一指標是否可以用作抗旱性鑒定;聚類結果能較好地反映各小麥品種的地域分佈.因此,進行小麥品種苗期抗旱性鑒定時,應加彊對地上部形態指標的選擇和鑒定,以提高選擇效率.
위료계통연구소맥묘기형태지표여항한성적관계병사선유효적항한성지표,사용PEG-6000모의간한협박,채용회색관련도분석법분석료28빈소맥품충묘기간한협박하적묘고、최장근장、근수、지상부선중、지상부간중、근선중、근간중、협편수、근관비등9개형태지표여항한계수적관련정도,병이소득가권항한계수대각품충진행취류분석.결과현시,각형태지표여항한계수적관련도의차위:협편수(0.817)>묘고(0.766)>지상부간중(0.746)>지상부선중(0.729)>근수(0.699)>근간중(0.688)>근선중(0.681)>근관비(0.645)>최장근장(0.399).연구환표명,9개형태지표가분위협편상관인자、지상부생물량인자화근부생물량인자삼대류,지상부생물량인자적관련도대우근부생물량인자;불능지통과차이현저도검험래판단모일지표시부가이용작항한성감정;취류결과능교호지반영각소맥품충적지역분포.인차,진행소맥품충묘기항한성감정시,응가강대지상부형태지표적선택화감정,이제고선택효솔.
This paper aims at probing the relationship between morphological traits and drought tolerance of wheat cultivars and screening effective indexes for drought resistance. A total of 9 morphological traits including plant height, main root length, root number, shoot fresh weight, shoot dry weight, root fresh weight, root dry weight, leaf number , root/shoot ratio measured in 28 wheat cultivars grown at laboratory drought stress by PEG-6000, were analyzed using grey relational grade. At the same time, cultivars were classified by using clustering analysis base on weight drought-tolerance coefficient. Grey correlation degrees were calculated between each trait and its drought coefficient and ranked as follows: leaf number (0.817) >plant height (0.766) >shoot dry weight (0.746) >shoot fresh weight (0.729) >root number (0.699) >root dry weight (0.688) > root fresh weight (0.681) >root/shoot ratio (0.645) >main root length (0.399). The result showed that 9 morphological traits could be classified 3 categories. The cluster consequence reflected fundamentally the origin and area distribution of cultivars. The results suggested that the over-ground traits was the base and the root traits were second in the trait-based selection of drought tolerance to improve the screen efficiency.