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首页> 外文期刊>日本作物學會紀事 >Fundamental Studies on Yield-Forecast for Rice Plants : 15. Characters of rice yield-components in the order of culm length through the practical simplified survey method (5)
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Fundamental Studies on Yield-Forecast for Rice Plants : 15. Characters of rice yield-components in the order of culm length through the practical simplified survey method (5)

机译：水稻植物产量预测的基本研究：15。通过实用简化调查方法（5）的秆长度为玉米产量 - 成分的特征（5）

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摘要

This study is one of the serial experiments for practical use conducted based upon the characters of rice yield-components per panicle within a hill arranged in the order of culm length for the purpose to estimate the paddy rice yields and the yield-components per hill through the simplified survey method by using a few samples. This test was attempted in order to bring about the results more accurately than ever before and in order to devise a practical and simplified survey method which may serve well in the rice yield forecast before ripening period. Test samples were arranged in order of culm length per hill, and the yield-components, i. e., the total number of spikelets, percentage of ripe grains and 1, 000 ripe grains weight were measured according to the panicles. The test results obtained are summarized as follows: The total number of spikelets, percentage of ripe grains and 1, 000 ripe grains weight per panicle in the same order of culm length are represented in the form of a monomial distribution. Relation between the total number of spikelets per panicle and the order of culm length is represented in the form of the primary or secondary orthogonal regression. Relation of the percentage of ripe grains and 1, 000 ripe grains weight to the order of culm length can be represented in the form of a zero-order regression as a rule, but the zero-order regression seems to be subjected to change into the form of other regressions by the effect of environmental conditions.
机译：本研究是基于山坡上每穗内的水稻产量的特性进行的实际用途的连续实验之一，以估计水稻产量和每山的产量组件使用少数样本进行简化的调查方法。尝试该测试以便比以往任何时候都更准确地提高结果，以便设计一种实用和简化的调查方法，该方法在成熟时期之前可以在水稻产量预测中提供良好。测试样品按照每山秆的顺序排列，以及产量 - 组分。即，根据圆锥花序测量尖峰的总数，成熟晶粒的百分比和1,000颗成熟晶粒重量。获得的测试结果总结如下：尖峰的总数，成熟颗粒的总数，成熟颗粒的百分比，以相同顺序的圆锥形长度的同一顺序的形式以单项分布表示。每根穗刺总数与秆长度的阶数之间的关系以初级或次级正交回归的形式表示。成熟颗粒和1,000粒成熟谷物重量的百分比的关系可以以零级回归的形式表示，但是零阶回归似乎受到改变环境条件效果的其他回归的形式。

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