...
首页> 外文期刊>日本作物學會紀事 >Crop-scientific studies on the yield-forecast of lowland rice (Preliminary report) : VI. On the relation of fruit bearing percentage to yield-forecast of rice.
【24h】

Crop-scientific studies on the yield-forecast of lowland rice (Preliminary report) : VI. On the relation of fruit bearing percentage to yield-forecast of rice.

机译:作物科学研究对低地稻米产量预测(初步报告):VI。论水果含量百分比与水稻产量预测的关系。

获取原文
           

摘要

Following significant relation between fruit bearing percentage and yield of rice was drawn out from the data, formerly reported on the experiments of pruning blades and roots in rice plant. (1) In this study, first of all, it was very necessary to establish an index by means of which fruited grains can be scientifically distinguished. As a result of researching the index from the stand-point of estimating rice yield, it was ascertained to be recommendable to use specific gravity of grains as the index and to take heavier grains than 1.06 of specific gravity as fruited ones. But this index holds true only in the case of dry grains (water content 12∼15%). (2) Correlation tables between fruit bearing percentage and yield, represented in persentage to the "Controls" respectively, are given in Fig. 1 and Fig. 2. Fruit bearing persentage can be seen to be very highly correlated with yield (r=0.99), except for the plots of No. 1∼8 in Fig. 1 and No. 1∼10 in Fig. 2. These two figures strongly suggest that in the period, at the latest, after the treatment date of No. 11 (Aug. 26, 5 days before heading), the yield of rice is mainly affected only by the fruit bearing percentage. The time of treatment on No. 11 is just the end of period when number of spikelets per ear increases, as seen in the former report (V), and there are no significant differences in number of spikelets per ears among all plots treated after it. Moreover, no significant differences are found in number of ears per plant among plots treated No.7 (Aug. 13, beginning of reproductive cell formation). Therefore; we can likely conclude that after the number of spikelets per eat and ears per plant are determined, fruit bearing percentage plays a leading role in determing the amount of rice-yield. (3) As the yield of rice is repesented by the product of its constitutional four factors, in the period after the number of ears per plant and spikelets per ear are determined it is controlled by two factors - fruit bearing percentage and weight of 1, 000 grains - which are not yet determined. In fact, however, the yield of rice, as mentioned above, is mainly affected only by fruit bearing percentage in that period. The reason why weight of 1, 000 grains has very little to do with constituting yield can be explained by its small variability. For example, Table 1 showing coefficients of variability of four factors indicates obviously that weight of 1, 000 grains is remarkably small in variability as compared with other three factors. And there are several further data supporting the stability of it. (4) From the results mentioned above, it has been made clear that one of the most important keys to solve the problem of yield-forecast in rice is to forecast the fruit bearing percentage as early as possible. Moreover, as entirely sterile grains can be recognized by the time shortly after heading, it seems to be the most urgent problem to forecast the percentage of lighter grains than 1.06 in specific gravity.
机译:果实含量与水果含量百分比和产量的重要关系,以前报道了水稻植物修剪叶片的实验。 (1)在本研究中,首先,建立一个索引的索引可以科学地区分索引。由于从估计水稻产量的展台研究指标,确定是建议推荐的,以使用谷物的比重作为指数,并将较重的谷物与1.06的比重作为摩擦物质。但该指数仅在干燥的晶粒(水含量为12-15%)的情况下保持真实。 (2)在图2中给出了果实轴承率和产率之间的相关表格,其分别在“对照”中表示,在图2中,参照图1和图2.可以看到水果轴承持股度与产量非常高(R = 0.99 )除了图1中的No.1〜8的曲线图。图1和图2中的第1〜〜10号。这两个数字强烈建议,在此期间,最新的治疗日期后11( 8月26日,前往5天),大米产量主要受水果占百分比影响。当前报告(v)中的每只耳朵数量增加时,11时的治疗时间是时期的末端,并且在它后处理的所有耳朵中的每只耳朵数量没有显着差异。此外,在处理第7号的地块(8月13日,生殖细胞形成开始时,每株植物数量没有发现显着差异。所以;我们可以得出结论,在确定每植物的每次吃的小穗数量后,水果轴承率在确定水稻产量的含量方面发挥着主导作用。 (3)由于其宪法四种因素的产物恢复了稻米的产量,因此在每耳的每颗植物的耳朵数量和每只耳朵的穗状体的时期内,它由两个因素控制 - 水果轴承率和重量为1, 000粒 - 尚未确定。然而,事实上,如上所述的大米产率主要受到该时期的水果轴承率的影响。可以通过其小变异性来解释为什么1,000颗粒的重量为1,000颗粒的原因。例如,表1显示了四个因素的可变性系数表明,与其他三个因素相比,显着的重量为1,000颗粒的可变异性显着小。并且有几个支持它的稳定性的数据。 (4)从上面提到的结果中,已经清楚地说明了解决水稻产量预测问题的最重要的键之一是尽早预测水果轴承率。此外,作为完全无菌颗粒可以在短时间内识别出来的时间,似乎是预测比在比重中比1.06更轻的颗粒百分比的最迫切问题。

著录项

相似文献

  • 外文文献
  • 中文文献
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号