论文部分内容阅读
采用双因素随机区组设计,研究了分别来自干旱与湿润区的4个小麦品种6个播种密度对冬小麦生长、生物量分配及产量的影响.结果表明,在本试验条件下,生长指标、生物量积累各指标及籽粒产量均主要受基因型和播种密度互作(g×d)影响,而成穗数、穗粒数主要受播种密度(d)的影响,基因型(g)则是引起小麦籽粒产量、千粒重及穗长变化的主要因素.白粒三号和川麦39最佳播种密度为315×104 hm-2,籽粒产量达到5 863.8 kg hm-2和5 882.1 kg hm-2;西农2000与陕麦139产量最佳播种密度为195×104 hm-2,籽粒产量分别为6 422.4 kg hm-2和7 062.4 kg hm-2.陕西小麦品种籽粒产量高出四川小麦约12.90%~18.62%.相关分析表明,籽粒产量与成穗数、千粒重呈极显著正相关(r=0.859 7**,r=0.499 3**),而与穗长、地上部干重及根系长度呈极显著负相关,与穗粒数及其它生长、生物量指标无显著相关.研究表明,干旱区小麦在湿润地区种植表现出较大的增产潜力,此外,在生产中应重视基因型和播种密度二者互作所表现出来的优势.表5参31
The two-factor randomized block design was used to study the effects of six seeding densities of four wheat cultivars from arid and humid zones on the growth, biomass allocation and yield of winter wheat.The results showed that under the conditions of the experiment, The indexes of accumulation and grain yield were mainly affected by genotype and sowing density (g × d). The number of spikelets and grains per spike were mainly affected by the sowing density (d), while genotype (g) The main factors of grain yield, 1000-grain weight and spike length of wheat were as follows: the optimum sowing density was 315 × 104 hm-2 and the grain yield was 5 863.8 kg hm-2 and 5 882.1 kg hm-2 respectively for Baizashi 3 and Chuanmai 39; The best sowing densities of Xinong 2000 and Shanyima 139 were 195 × 104 hm-2, and the grain yields were 6 422.4 kg hm-2 and 7 062.4 kg hm-2 respectively. The grain yield of Shaanxi wheat varieties was 12.90% ~ 18.62%, respectively. Correlation analysis showed that there was a significant positive correlation (r = 0.859 7 **, r = 0.499 3 **) between grain yield and spike number and grain weight. Extremely significant negative correlation, and grain number per spike and other growth, no significant correlation between biomass indicators.Research shows that arid area is small Grown in humid regions showed a greater yield potential. In addition, attention should be paid both in the production of planting density and genotype interactions demonstrated advantages. Table 5 Reference 31