摘要
研究旱作条件下不同覆盖集雨措施对玉露香梨品质的影响,探求幼龄玉露香梨树最适宜的覆盖集雨措施,为果园覆盖栽培技术提供理论依据。试验共设置4个覆盖处理:全年地布覆盖(T1)、4-9月份地布覆盖(T2)、10月-翌年3月份地布覆盖(T3)、秸秆覆盖(T4),并与对照组无覆盖(CK)进行对比。结果表明:旱作条件下,各覆盖集雨处理均比无覆盖对照组更有利于玉露香梨的生长发育,其中全年地布覆盖处理(T1)下玉露香梨的单果重、果肉硬度以及可溶性固形物含量值最大,而秸秆覆盖处理(T4)的果形指数值最大,酸度值最小。通过对各品质指标进行主成分分析,综合考虑得出,旱作条件下,本试验区3年生玉露香梨在秸秆覆盖条件下品质最优。
The effects of different rain cover measures on the quality of Yuluxiang pear under dry farming conditions were studied and the most suitable rain cover measures for young Yuluxiang pear trees were explored to provide a theoretical basis for the orchard cover cultivation technology.A total of four coverage treatments were set up in the experiment:year-round floor covering(T1),April-September floor covering(T2),October-March of the next year floor covering(T3),straw covering(T4),and the control group no coverage(CK)for comparison.The results showed that:under the conditions of dry farming,each covered rain-collecting treatment was more conducive to the growth and development of Yuluxiang pear than the uncovered control group.Among them,the annual single fruit weight,pulp hardness and soluble solid content of Yuluxiang pear were the largest under the ground cover treatment(T1),while the straw cover treatment(T4)had the largest fruit shape index value and the smallest acidity value.Through the analysis of the main components of each quality index,a total of two main components were extracted.After comprehensive consideration,it was concluded that under the conditions of dry farming and rain collection,the most suitable covering measure for the three-year-old Yuluxiang pear in this test area was straw covering.
作者
杨凯
刘艳武
窦彦鑫
石美娟
郭华
YANG Kai;LIU Yanwu;DOU Yanxin;SHI Meijuan;GUO Hua(Pomology Institute,Shanxi Agricultural University,Taigu 030815,China;Taiyuan University of Technology,Taiyuan 030024,China)
出处
《果树资源学报》
2020年第6期35-40,共6页
Journal of Fruit Resources
基金
山西省重点研发重点项目(201703D211002-5-3):晋南优势水果有机旱作关键技术研究与示范
山西省农业科学院农业科技创新研究课题(YCX2018D2YX13):隰县玉露香梨标准化技术的研究。
关键词
覆盖
玉露香梨
品质
主成分分析
covering
Yuluxiang pear
quality
principal component analysis