论文部分内容阅读
经过1987和1988两年在河南安阳和江苏扬州二个点的田间试验研究,分别建立了棉花纤维产量构成因素公顷铃数、单铃重和衣分对产量影响的数学模型,以及播期、追施氮肥、密度、喷缩节安、去早蕾、留果枝数等栽培措施对产量构成各因素影响的数学模型。分析指出,产量构成因素的重要地位随地区不同而变化,主要栽培措施是依据一定地区和一定年份而言的。在安阳地区,铃重是影响产量最重要的因素,而去早蕾、密度和追施氮肥又是影响铃重的主要栽培措施,这三项措施的重要性顺序随着年份不同而不一样;在扬州地区,公顷铃数是贡献于产量的最重要因素,而密度又是影响公顷铃数的关键栽培措施,留果枝数和追施氮肥的地位则因年份不同而分别居第二、第三位。这为棉花生产因地因时制宜,抓主要矛盾提供了科学依据。
After 1987 and 1988, two field experiments were conducted in Anyang, Henan Province and Yangzhou, Jiangsu Province. The mathematical models of boll number, boll weight and lint percentage of cotton fiber yield were established respectively. Nitrogen fertilization, density, spray-sprinkling and arthropod, premature buds, the number of remaining fruiting branches and other cultivation measures on yield components of the mathematical model. The analysis pointed out that the important status of the factors that make up the output varies with different regions. The main cultivation measures are based on certain regions and certain years. In Anyang area, boll weight was the most important factor affecting the yield. However, the effects of early buds, topdressing rate and topdressing nitrogen fertilizer on the boll weight were main cultivation measures. The order of importance of these three measures varies with the years; In Yangzhou, the number of bolls per hectare is the most important factor contributing to the yield. Density is also the key cultivation measure affecting the number of bells per hectare. The number of remaining fruit branches and topdressing nitrogen fertilizer rank second respectively due to different years. The third Bit. This provides a scientific basis for cotton production due to local conditions and grasp the main contradictions.