CAJ | 학술논문

本研究以玉米杂交种农大108的F2:4、F2:5家系为材料,构建了包含199个SSR标记,覆盖玉米10条染色体的遗传连锁图谱,图谱总长度2101.1 cM,平均间距为10.6 cM.在施氮(+N)和不施氮(-N)两种条件下对群体进行了鉴定,利用近红外反射光谱(NIRS)方法测定了群体子粒的蛋白质、淀粉、油分和赖氨酸含量.结果表明,在不施氮条件下子粒的蛋白质、脂肪和赖氨酸含量下降,而淀粉含量上升,但不同材料的变化幅度不同.采用复合区间作图法共检测到24个与玉米子粒品质件状相关的QTLs,其中施氮条件下13个,不施氮条件下11个,涉及21个不同位点的QTLs,分布在1,2,3,4,7,9染色体上,且集中在第3染色体上的QTLs有6个,第9染色体上的QTLs有7个,分别占测到总QTLs的28.57%和33.33%.单个QTL贡献率在8.05%～34.31%之间,其中,qProla是不施氮条件下与蛋白质含量相关的主效QTL,qOil3b是不施氮条件下与油分含量相关的主效QTL,贡献率分别达34.31%和17.66%.在21个不同的QTLs中,9个表现加性效应,8个表现部分显性.
본연구이옥미잡교충농대108적F2:4、F2:5가계위재료,구건료포함199개SSR표기,복개옥미10조염색체적유전련쇄도보,도보총장도2101.1 cM,평균간거위10.6 cM.재시담(+N)화불시담(-N)량충조건하대군체진행료감정,이용근홍외반사광보(NIRS)방법측정료군체자립적단백질、정분、유분화뢰안산함량.결과표명,재불시담조건하자립적단백질、지방화뢰안산함량하강,이정분함량상승,단불동재료적변화폭도불동.채용복합구간작도법공검측도24개여옥미자립품질건상상관적QTLs,기중시담조건하13개,불시담조건하11개,섭급21개불동위점적QTLs,분포재1,2,3,4,7,9염색체상,차집중재제3염색체상적QTLs유6개,제9염색체상적QTLs유7개,분별점측도총QTLs적28.57%화33.33%.단개QTL공헌솔재8.05%～34.31%지간,기중,qProla시불시담조건하여단백질함량상관적주효QTL,qOil3b시불시담조건하여유분함량상관적주효QTL,공헌솔분별체34.31%화17.66%.재21개불동적QTLs중,9개표현가성효응,8개표현부분현성.
In this investigation, two sets of F2:4 and F2:5 families deriving from an elite maize hybrid Nongda108 were used to analyze genetic effects of nutrient components under nitrogen plus ( + N) and no-nitrogen plus ( - N) conditions in 2004 and 2005. A genetic linkage map was constructed including 199 SSR markers covered 2101. 1cM on 10 chromo-somes of maize, with an average interval Iength of 10.6cM. Four nutrient components including protein, starch, oil and lysine in kernel of F2:4 and F2:5 families were measured using near infrared reflectance spectroscopy (NIRS) method. The results show that the contents of protein, oil and lysine in kernel are decreased, while starch content is increased under - N condition, and the changing ranges are dependent on different materials. A total of 24 QTLs(13 for + N and 11 for - N treatment), including 21 different loci, associated with nutrient components of kernel are detected using composite interval mapping method (CIM), locating on chromosome 1, 2, 3, 4, 7 and 9, mainly concentrated on chromosome 3 and 9. The contribution of single QTL to phenotypic variation varies from 8.05% to 34.31%, among them, qProla is the main contribution to protein content, accounting for 34.31% and qOil3b is the main contribution to oil content, ccounting for 17.66% under-N condertion. Out of 21 QTLs, nine QTLs appear additive effect, and eight QTLs ex-press partially dominant effect.