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Vergara - 1976 - Physiological and morphological adaptability of ri

Vergara - 1976 - Physiological and morphological adaptability of ri

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198 CLIh-LATE AND RICE<br />

Both <strong>of</strong> these methods have disadvantages, hoyvever, because there are sometimes<br />

negative correlations between the <strong>ri</strong>pening index <strong>and</strong> spikelet number.<br />

Ripening index needs to represent only the <strong>ri</strong>pening ability, which removes the<br />

effect <strong>of</strong> sink size 0n grain yield. That the grain yield is divided by spikelet<br />

number means elimination <strong>of</strong> the effect <strong>of</strong> sink size. It is not desirable for analysis<br />

to have negative correlation between <strong>ri</strong>pening index <strong>and</strong> spikelet number. Such<br />

correlation is brought about by assuming that the relation between grain yield<br />

<strong>and</strong> sink size might be linear.<br />

Munakata et al. (1967) found that the relation between grain yield <strong>and</strong><br />

spikelet numbers was ShOWfl by the non-linear formula:<br />

Y3 = Cl Yz/(b +<br />

where l}: the kernel yield per square meter. Y2: the number <strong>of</strong> spikelets, a:<br />

the index <strong>of</strong> <strong>ri</strong>pening grade, <strong>and</strong> b: a constant with 5 >< 104.<br />

From the above formula, <strong>ri</strong>pening index is as follows:<br />

a = Ur, X (a + 2;).<br />

In this report, “kernel yield per total number <strong>of</strong> spikelets" is used as a <strong>ri</strong>pening<br />

index for the following reasons:<br />

l. Much information on spikelet numbers is available for growth analysis in<br />

Japan.<br />

2. When the data were analyzed by both the method <strong>of</strong> kernel yield per total<br />

number <strong>of</strong> spikelets <strong>and</strong> by Munakatzfs method. the results obtained indicated<br />

no significant differences. This seemed to be due to the fact that no significant<br />

correlation was found between the <strong>ri</strong>pening index <strong>and</strong> spikelel number (see<br />

Table l).<br />

The stage most sensitive to elim atie factors for the <strong>ri</strong>pening grade<br />

In an attempt to cla<strong>ri</strong>fy the stage most sensitive to climatic factors for <strong>ri</strong>pening<br />

grade, the multiple correlations in different stages were calculated. Several<br />

models were t<strong>ri</strong>ed. conside<strong>ri</strong>ng the complex interactions <strong>of</strong> light <strong>and</strong> temperature.<br />

As a result, the following model <strong>of</strong> modified type Ill was used.<br />

(l: i",)0= = b,/r~~is»= + ease/r“ + b,r»==/.s'-= + sa<strong>ri</strong>s“<br />

+ bJT + bJS + b_./r= + bJT’ + c (2)<br />

where Y4: <strong>ri</strong>pening grade (l'3/ Y3). T; <strong>and</strong> S}: equivalent to eq. (1), <strong>and</strong> j: stage<br />

number.<br />

The above equation is effective for analyzing the combined effect <strong>of</strong> light <strong>and</strong><br />

temperature, although individual effects are not determined.<br />

From Fig. 9, two maxima in multiple correlation coefficients were found in<br />

[-20] stage <strong>and</strong> [+20] stage. The first peak includes the meiosis stage in which<br />

physiological activity‘ <strong>of</strong> pollen <strong>and</strong> ovary is determined as well as number <strong>and</strong><br />

size <strong>of</strong> spikelets. The first peak <strong>of</strong> <strong>ri</strong>pening grade means that the physiological<br />

activity <strong>of</strong> the reproductive organ is definitely governed by the climate in [-20]<br />

stage. The second peak is equal to the most active <strong>ri</strong>pening stage when the<br />

increasing rate <strong>of</strong> dry weight <strong>of</strong>kernels reaches its highest.

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