J. A. Montemayor-Trejo, Roberto López-Antonio, Norma Guadalupe Sifuentes-Morín, Alan Joel Servín-Prieto
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引用次数: 0
摘要
在Comarca Lagunera，饲料玉米是需求量最大的作物。目的是建立饲料玉米杂交种的生产指标模型，为改进生产系统提供依据。评价变量为:叶面积指数(IAF)、叶片数和干物质(DM)。作为IAF函数的DM模型为17.13 g /单位IAF。对于播种后的天数(DDS)，产量为5克/天。基于DDS的IAF每天可获得0.36个单位的IAF, IAF随叶片数的增加而增加0.65个单位。结果表明，评估变量的行为提供了具有不同可靠性水平的线性和多项式回归模型的结果，这使得未来的估计可以选择最适合该区域的混合模型。
Production indicator models for fodder maize (Zea mays L.) in the Comarca Lagunera II
Forage corn is a crop in greatest demand in the Comarca Lagunera. The objective is to obtain the models for the production indicators of forage maize hybrids, which could improve the production systems. The variables evaluated were: leaf area index (IAF), number of leaves and dry matter (DM). The DM model as a function of the IAF was 17.13 grams plant per unit of IAF. For the days after sowing (DDS) a production of 5 grams plant / elapsed day was found. For IAF based on DDS, 0.36 units of IAF were obtained per day and the IAF increased by 0.65 units as a function of the number of leaves. It is concluded that the behavior of the evaluated variables provides results of linear and polynomial regression models, with different levels of reliability, which allow future estimates to be made to choose the hybrids that best adapt to the region.
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