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Vergara - 1976 - Physiological and morphological adaptability of ri

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188 CLIMATE AND RICE<br />

reactions other than the biological clock. Therefore, the combined effect <strong>of</strong><br />

temperature <strong>and</strong> light on the plant growth is not simple.<br />

The reproductive growth <strong>of</strong> a <strong>ri</strong>ce plant goes on for a lengthy pe<strong>ri</strong>od <strong>of</strong> about<br />

6O day's from initiation <strong>of</strong> paniele formation to grain matu<strong>ri</strong>ty. The <strong>ri</strong>ce plant<br />

du<strong>ri</strong>ng this pe<strong>ri</strong>od car<strong>ri</strong>es on <strong>morphological</strong> differentiation as well as increasing<br />

dry matter. Grain yield is essentially determined through two processes. spikelet<br />

formation before heading <strong>and</strong> grain <strong>ri</strong>pening after heading. Consequently‘.<br />

farmers <strong>and</strong> researchers have given special attention to climatic conditions<br />

du<strong>ri</strong>ng the reproductive growth pe<strong>ri</strong>od.<br />

ln this report. the functional relationship between climatic factors <strong>and</strong> reproductive<br />

growth <strong>of</strong> <strong>ri</strong>ce will be discussed, <strong>and</strong> several types <strong>of</strong> mathematical<br />

models expressing the complex effects <strong>of</strong> temperature <strong>and</strong> light on grain _vie1d<br />

<strong>and</strong> its components Will be proposed.<br />

ANALYSIS<br />

PROCESS<br />

Collection <strong>and</strong> expression <strong>of</strong> data<br />

The data on yield, its components. <strong>and</strong> meteorological factors WCIC obtained<br />

from the reports <strong>of</strong> Statistics <strong>and</strong> Survey Department in 1961-1971. All <strong>of</strong> the<br />

data on yield <strong>and</strong> its components in these reports represent average values from<br />

about 200 fanner fields in individual prefectures every year. The data used herein<br />

cover the 23 prefectures which comp<strong>ri</strong>se the major <strong>ri</strong>ce-production area in<br />

Japan. These prefectures range from coo] region (Ielokkaido) to WHTITI region<br />

(Kyushu). The total number <strong>of</strong> samples was about 200. The items <strong>of</strong> <strong>ri</strong>ce plant<br />

data used for analysis were the heading time. the number <strong>of</strong> panicles per<br />

square meter (11). the number <strong>of</strong> spikelets per square meter (1)), <strong>and</strong> yield (L).<br />

The yield represents the kernel weight per square meter. Table l shows that the<br />

highest correlation was between yield <strong>and</strong> <strong>ri</strong>pening grade‘. the second highest<br />

was between yield <strong>and</strong> number <strong>of</strong> spikelets per square meter. However, there<br />

was no significant correlation bCWVCCIl these yield components.<br />

Temperature <strong>and</strong> light environments were expressed by the daily mean air<br />

temperature (t) <strong>and</strong> the daily mean sunshine hours (s). Expressing light environ-<br />

Table 1. Simple Correlation coefficients between individual yield<br />

components (1961-71. 23 prefectures in Japan. M205).<br />

Panicles Spilcelets Yield<br />

Y, YJY. Y; YJY; Y;<br />

Panlcles Y, 4166 0 86 -0.12 0.46<br />

YJY, -O 19 0.0? -0 05<br />

Sprkeiets Y; -0.08 0.59<br />

Ripening g. YJY; 0. ‘F6<br />

(CV %) 146 7'2 ‘I15 134 169<br />

‘(.2 number <strong>of</strong> panicles/ml.<br />

Y1: number <strong>of</strong> spikeletslnv (included non-<strong>ri</strong>pened spikelets)<br />

Y3: kernel yield tglnr)<br />

YJYt: number <strong>of</strong> sprkeletsipanlcle<br />

Y)”; <strong>ri</strong>pening grade (kernel weight/spikelel, mg].

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