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1 Analysis of Growth and Variation in Trend of Some Traits of Potato cv. Agria in Different Planting Dates ( ) : /10/ : /4/ (2): ( ) ( ) ｨC1/2 1/ / ( ) ( ) : :6 1 mousapour_gorji@yahoo.com 187
2 136 1 ｱ ｱ ) Juzl, (Zrust and ( (Juzl, (1966 Radley, (Bremner and ) Taha, (Bremner and ) al., (Singh et ) al., (Borrego et RGR) (Relative Growth Rate = (1972.(Evans, ) Rowberry, (Lynch and / ) Caesar,.(Berga and (1988 (Iwama, CGR) (Crop Growth Rate = Simpson, (Clutterbuck and 12) Bennett, 1987; Kleinhenz and ) Iritani,.(Cho and ) Taha, (Bremner and
3 ) al., (Siadat et /62 7/ / (1982 (Nganga, ) al., (Patil et ) Koller,.(Blackman, 1919; ) al., (Mehta et (1987 al., (Nishibe et ( ) ) al., (Singh et ) Milthorpe, (Moorby and
4 136 1 ｱ ｱ ;1977 (Collins, Warson, 1971.(Dyson and ; Maxwell, (Rykbost and Allen, 1978.(Ifenkwe and (1977 (McCollum, ( ) ) al., (Siadat et /8 443/ / (1978 (Hunt,
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6 136 1 ｱ ｱ SAS ( ) (CGR) (RGR) (GDD) (TDW) TDW CGR 1011 TDW (1978.(Hunt, CGR 12TDW 12 RGR :6 1 GDD = ﾆn [(T max + T min )/ 2 ] ｨC Tb TDW = EXP (a + bt + ct 2 ) CGR = b + 2ct RGR = CGR/TDW n T max T min Tb ( ) (Ravi and Indira, 19; Villordon et al., 2009) ( ) Excel ( ) ( ) ﾁ ﾁ ﾁ
7 Table 1. Combined analysis of variance for tuber yield S.O.V df Mean square Year (Y) ** Replication / Y ** / Date (D) ** D ﾁ Y ** ﾁ Error (a) ( ( Variety (V) ** V ﾁ D ** ﾁ V ﾁ Y * ﾁ V ﾁ D ﾁ Y ﾁ ﾁ ns Error (b) ** (10) Sample (S) ** S ﾁ V ** ﾁ S ﾁ D ** ﾁ S ﾁ Y ** ﾁ S ﾁ V ﾁ D ** ﾁ ﾁ S ﾁ V ﾁ Y * ﾁ ﾁ S ﾁ D ﾁ Y ** ﾁ ﾁ S ﾁ V ﾁ D ﾁ Y ﾁ ﾁ ﾁ ns Error (c) (14) C.V. (%) (%) * 12 **: %6 1 %1. * and **: Significant at the 5% and 1* probably levels, respectively ns: Not-Significant :ns ( )
8 136 1 ｱ ｱ Table 2. Mean comparison of tuber yield for different planting date Planting date ( )6 1 Mean (g plant -1 ) April 8 th c April 24 th bc May 9 th a May 25 th c June 9 th ab % Means with at least one letter in common are not significantly different at the 5% probability level-using Least Significant Difference Test (02Cd) Accumulated GDD (02Cd) ( )6 1 Yield (g plant -1 ) 8th April 24th April 9th may 25th May 9th June Fig. 1. Variation in trend of tuber yield plant -1 in different planting date (Berry and Bj02rkman, 1980; Wolf et al., 10; Farrar and Williams, 11; al., 18.(Geigenberger et ｨC
9 ( ) ( ) (1978 (Moorby, ) Maxwell, (Rykbost and (16) Shot19s dry mater (%) 8th April 24th April 9th May 25th May 9th June (02Cd) Accumulated GDD (02Cd) ｨC Fig. 2. Variation in trend of shoot ｯs dry matter in different planting date ( ) ( )
10 136 1 ｱ ｱ ( ) ( ) ( ) ( ) (19 al., (Siadat et ) al., (Peter et ( ) ( ) ( ) ( ) ) Bj02rkman, (Berry and (2006 al., (Timlin et ｨC (2008 al., (Gorji et
11 ; Struik, (Ewing and.(yan and Wallace, ( ) ( ) ｨC ( ) ｨC ( ) ( ) ( ) ｨC ( )
12 136 1 ｱ ｱ (02Cd) Accumulated GDD (02Cd) (16) Seed tuber (%) 8th April 24th April 9th May 25th may 9th June ｨC Fig. 3. Variation in trend of % seed potato in different planting dates 8th April (16) Ware tuber (%) 24th April 9th May 25th May 9th June (02Cd) Accumulated GDD (02Cd) ｨC Fig. 4. Variation in trend of % ware tubers in different planting dates ｨC ( )
13 th April (02Cd) Accumulated GDD (02Cd) (16) Dry matter of tuber (%) 24th April 9th May 25th May 9th June ｨC Fig. 5. Variation in trend of % tuber ｯs dry matter in different planting dates (16 al., (Dam et ( ) ( ) ( ) ( ) ( )
14 136 1 ｱ ｱ ( ) Prange,12; (Midmore and.tibbitts et al., 12; Thornton et al., 16) Tuber dry matter (g m -2 ) ( )6 1 8th April 24th April 9th May 25th May 9th June (02Cd) Accumulated GDD (02Cd) ｨC Fig. 6. Variation in trend of tuber ｯs dry matter in different planting dates (6 1rate(TGR Tuber growth ( ) ( )
15 ( )6 1 TGR (gm -2 GDD -1 ) th April 24th April 9th May 25th May 9th June (02Cd) Accumulated GDD (02Cd) ｨC Fig. 7. Variation in trend of tuber growth rate in different planting dates ( ) ( ) ｨC1/2 1/ ) al., (Siadat et
16 136 1 ｱ ｱ ) al., (Iritani et Tuber relative growth rate (TRGR) (6 1TRGR6 1) ( ) ( ) ( ) / ( ) ) (Iortsun and Khan (19 al., (Siadat et / ﾁ ﾁ (
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橡hashik-f.PDF
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05[ ]戸田(責)村.indd
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y i = Z i δ i +ε i ε i δ X y i = X Z i δ i + X ε i [ ] 1 δ ˆ i = Z i X( X X) 1 X Z i [ ] 1 σ ˆ 2 Z i X( X X) 1 X Z i Z i X( X X) 1 X y i σ ˆ 2 ˆ σ 2 = [ ] y i Z ˆ [ i δ i ] 1 y N p i Z i δ ˆ i i RSTAT