摘要
为进一步优化小麦品种结构,提高小麦产量和品质,确保粮食和食品安全,采用品种同异比较(理想值法)分析方法,对14个小麦新品种(系)的15个性状进行了综合分析,从中筛选适宜宝鸡生态条件下种植的小麦新品种(系)。结果表明,‘西农167’综合同一度最大(0.9622),说明该品种在14个参试品种(系)中综合性状表现最好,15个性状中有96.22%的性状达到了育种目标要求,其次是‘漯6073’(0.9104),产量较高,抗倒伏和综合抗病性强;再次是‘新麦0401’(0.9021)、‘长河25’(0.8954),均表现为抗倒、抗病,产量三因素协调;对照‘周麦18’(0.8713),试验中产量中等,但该品种在当地多年表现综合性状较好,高产、稳产,因此,仍不失为一个优良品种。因此,在14个参试品种(系)中,‘西农167’、‘漯6073’、‘新麦0401’、‘长河25’、‘周麦18’等5个品种(系)综合性状表现优异,适宜在宝鸡市川塬灌区生态条件下示范种植。
In order to further optimize the structure of wheat varieties, improve wheat yields and quality andensure food security, 15 characters of 14 wheat varieties（or lines） had been analyzed by using the method ofthe similarity-difference comparison（the ideal value method） analysis for selecting the wheat varieties（orlines） suitable to the ecological planting condition of Baoji. The results showed that the integrated identicaldegree of‘xinong 167＇（0.9622）, which 96.22% of the properties in its 15 characters reached the breedinggoals and demands, was the most desirable and got the best synthetical properties among 14 varieties. Followedby‘Luo 6073＇（0.9014） with high yield, high lodging resistance and good comprehensive disease resistance.Then were ＇Xinmai 0401＇（0.9021） and‘Changhe 25＇（0.8954）, both of them were characterized by lodgingresistance,diseaseresistanceandharmoniousinthreeelementsofproduction.Thecontrolvariety‘Zhoumai18＇（0.8713） showed medium productivity in this experiment, but it was still a fine variety for its goodcomprehensive local performance with stable high yield for many years. Therefore, in 14 tested varieties（or lines）, 5 varieties such as‘Xinong 167＇,‘Luo 0401＇,‘Xinmai 6073＇,‘Changhe 25＇and‘Zhoumai 18＇,which were all with excellent comprehensive performance characteristics, could be planted for demonstrationundertheecological condition in Baoji irrigation region.
出处
《中国农学通报》
CSCD
2014年第24期81-86,共6页
Chinese Agricultural Science Bulletin
基金
陕西省科技统筹创新工程计划项目"小麦高效育种技术及新品种选育"(2011KT2B02-01-01)
宝鸡市科技局2009年科技支撑重大科技专项"优质武农986等小麦新品种引进推广"(2011KN05-1)
关键词
小麦
新品种
生态区
同异分析
wheat new variety ecological region similarity-difference analysis
