Environmental factors affecting yield variability in spring and winter rapeseed genotypes cultivated in the southeastern Argentine Pampas
Rapeseed yields in Argentina are low [averaging 1400kg/ha nationwide] with a high inter-annual variability. One of the limiting factors for improving yields is the lack of information on the adaptability of the cultivars, especially in the main rapeseed-producing area, the southeastern Pampas. The o...
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| Acceso en línea: | http://ri.agro.uba.ar/files/intranet/articulo/2013takashima.pdf LINK AL EDITOR |
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| 024 | |a 10.1016/j.eja.2013.01.008 | ||
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| 245 | 1 | 0 | |a Environmental factors affecting yield variability in spring and winter rapeseed genotypes cultivated in the southeastern Argentine Pampas |
| 520 | |a Rapeseed yields in Argentina are low [averaging 1400kg/ha nationwide] with a high inter-annual variability. One of the limiting factors for improving yields is the lack of information on the adaptability of the cultivars, especially in the main rapeseed-producing area, the southeastern Pampas. The objectives of this study were to [i] quantify and analyze the yield variability of winter and spring rapeseed hybrids introduced in Argentina, [ii] identify the main environmental factors that affect the yields of the spring and winter genotypes in the southeastern Pampas, and [iii] model and validate rapeseed yields from environmental variables in the pre- and post-flowering periods. Principal component analysis [PCA] and linear regression methods were used to analyze 129 data points from 16 comparative yield trials in eight sites of southeastern Pampas. The rainfed crops were sown between April and July and from 2007 to 2009. Pre- and post-flowering phases were recorded in each experiment; temperature, frost occurrences, rainfall and radiation were measured during each phase. Yield variability [600-3700kgha-1] was slightly lower in spring than in winter genotypes [CV 0.25 versus 0.38]. Sixty percent of the winter genotype variability was explained by the first axis which was associated to the pre- and post-flowering durations, while 25 percent of the variability was explained by the second axis associated to yield. Almost 50 percent of the spring genotype variability was explained by the first axis associated to pre-flowering and total durations, while 27 percent of the variability was explained by the second axis in which post-flowering duration was associated to yield. Winter genotypes evidenced vernalization requirements that were either partially or not fulfilled, so, the longer the photoperiod, the longer the pre-flowering phase duration. In the critical period of 30d post-flowering, yield was not associated to the photothermal quotient. In winter genotypes, yield was associated to a linear model which included rainfall during the crop cycle, radiation and pre-flowering temperatures [R2=0.50]. The model was adequately validated with independent data [n=116] from official trials. For spring genotypes, only the frost occurrences during the critical period were relevant [R2=0.26] and placing the flowering time after October decreased the risk of late frost damage. Water use efficiency [WUE] values ranged from 1.6 to 6.7kgha-1 per mm of rain without a clear trend between spring and winter genotypes for this trait. In conclusion, winter genotypes did not necessarily yield more than the spring materials. In addition, rainfall during the crop cycle and frost occurrences during flowering were the main limiting factors of the winter and spring genotype yields, respectively, in the southeastern Pampas. | ||
| 653 | 0 | |a BRASSICA NAPUS | |
| 653 | 0 | |a GENOTYPE ADAPTABILITY | |
| 653 | 0 | |a GRAIN YIELD | |
| 653 | 0 | |a PRINCIPAL COMPONENT ANALYSIS | |
| 653 | 0 | |a WATER USE EFFICIENCY | |
| 653 | 0 | |a ADAPTATION | |
| 653 | 0 | |a AGRONOMY | |
| 653 | 0 | |a ANNUAL VARIATION | |
| 653 | 0 | |a CROP YIELD | |
| 653 | 0 | |a CULTIVAR | |
| 653 | 0 | |a DICOTYLEDON | |
| 653 | 0 | |a ENVIRONMENTAL FACTOR | |
| 653 | 0 | |a FLOWERING | |
| 653 | 0 | |a FROST | |
| 653 | 0 | |a GENOTYPE-ENVIRONMENT INTERACTION | |
| 653 | 0 | |a HYBRID | |
| 653 | 0 | |a PHOTOPERIOD | |
| 653 | 0 | |a RAINFED AGRICULTURE | |
| 653 | 0 | |a VERNALIZATION | |
| 653 | 0 | |a ARGENTINA | |
| 653 | 0 | |a PAMPAS | |
| 700 | 1 | |a Takashima, Nicolás E. |9 72598 | |
| 700 | 1 | |9 11330 |a Rondanini, Déborah Paola | |
| 700 | 1 | |9 11394 |a Puhl, Laura Elena | |
| 700 | 1 | |9 6438 |a Miralles, Daniel Julio | |
| 773 | |t European Journal of Agronomy |g vol.48 (2013), p.88-100 | ||
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| 900 | |a ^tEnvironmental factors affecting yield variability in spring and winter rapeseed genotypes cultivated in the southeastern Argentine Pampas | ||
| 900 | |a ^aTakashima^bN.E. | ||
| 900 | |a ^aRondanini^bD.P. | ||
| 900 | |a ^aPuhl^bL.E. | ||
| 900 | |a ^aMiralles^bD.J. | ||
| 900 | |a ^aTakashima^bN. E. | ||
| 900 | |a ^aRondanini^bD. P. | ||
| 900 | |a ^aPuhl^bL. E. | ||
| 900 | |a ^aMiralles^bD. J. | ||
| 900 | |a ^aTakashima, N.E.^tSyngenta Agro SA, Av. Del Libertador 1855, 2o Piso (1638BGE) Vicente López, Buenos Aires, Argentina | ||
| 900 | |a ^aRondanini, D.P.^tCátedra de Cerealicultura, Facultad de Agronomía, Universidad de Buenos Aires, Av. San Martin 4453, (1417DSE) Ciudad de Buenos Aires, Argentina | ||
| 900 | |a ^aRondanini, D.P.^tCONICET, Av. Rivadavia 1917, (1033AAJ) Ciudad de Buenos Aires, Argentina | ||
| 900 | |a ^aRondanini, D.P.^tDepartamento de Métodos Cuantitativos y Sistemas de Información, Facultad de Agronomía, Universidad de Buenos Aires, Av. San Martin 4453, (1417DSE) Ciudad de Buenos Aires, Argentina | ||
| 900 | |a ^aPuhl, L.E.^tDepartamento de Métodos Cuantitativos y Sistemas de Información, Facultad de Agronomía, Universidad de Buenos Aires, Av. San Martin 4453, (1417DSE) Ciudad de Buenos Aires, Argentina | ||
| 900 | |a ^aMiralles, D.J.^tCátedra de Cerealicultura, Facultad de Agronomía, Universidad de Buenos Aires, Av. San Martin 4453, (1417DSE) Ciudad de Buenos Aires, Argentina | ||
| 900 | |a ^aMiralles, D.J.^tCONICET, Av. Rivadavia 1917, (1033AAJ) Ciudad de Buenos Aires, Argentina | ||
| 900 | |a ^aMiralles, D.J.^tIFEVA-CONICET/Facultad de Agronomía, Universidad de Buenos Aires, Av. San Martin 4453, (1417DSE) Ciudad de Buenos Aires, Argentina | ||
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| 900 | |a Vol. 48 | ||
| 900 | |a 100 | ||
| 900 | |a BRASSICA NAPUS | ||
| 900 | |a GENOTYPE ADAPTABILITY | ||
| 900 | |a GRAIN YIELD | ||
| 900 | |a PRINCIPAL COMPONENT ANALYSIS | ||
| 900 | |a WATER USE EFFICIENCY | ||
| 900 | |a ADAPTATION | ||
| 900 | |a AGRONOMY | ||
| 900 | |a ANNUAL VARIATION | ||
| 900 | |a CROP YIELD | ||
| 900 | |a CULTIVAR | ||
| 900 | |a DICOTYLEDON | ||
| 900 | |a ENVIRONMENTAL FACTOR | ||
| 900 | |a FLOWERING | ||
| 900 | |a FROST | ||
| 900 | |a GENOTYPE-ENVIRONMENT INTERACTION | ||
| 900 | |a HYBRID | ||
| 900 | |a PHOTOPERIOD | ||
| 900 | |a RAINFED AGRICULTURE | ||
| 900 | |a VERNALIZATION | ||
| 900 | |a ARGENTINA | ||
| 900 | |a PAMPAS | ||
| 900 | |a Rapeseed yields in Argentina are low [averaging 1400kg/ha nationwide] with a high inter-annual variability. One of the limiting factors for improving yields is the lack of information on the adaptability of the cultivars, especially in the main rapeseed-producing area, the southeastern Pampas. The objectives of this study were to [i] quantify and analyze the yield variability of winter and spring rapeseed hybrids introduced in Argentina, [ii] identify the main environmental factors that affect the yields of the spring and winter genotypes in the southeastern Pampas, and [iii] model and validate rapeseed yields from environmental variables in the pre- and post-flowering periods. Principal component analysis [PCA] and linear regression methods were used to analyze 129 data points from 16 comparative yield trials in eight sites of southeastern Pampas. The rainfed crops were sown between April and July and from 2007 to 2009. Pre- and post-flowering phases were recorded in each experiment; temperature, frost occurrences, rainfall and radiation were measured during each phase. Yield variability [600-3700kgha-1] was slightly lower in spring than in winter genotypes [CV 0.25 versus 0.38]. Sixty percent of the winter genotype variability was explained by the first axis which was associated to the pre- and post-flowering durations, while 25 percent of the variability was explained by the second axis associated to yield. Almost 50 percent of the spring genotype variability was explained by the first axis associated to pre-flowering and total durations, while 27 percent of the variability was explained by the second axis in which post-flowering duration was associated to yield. Winter genotypes evidenced vernalization requirements that were either partially or not fulfilled, so, the longer the photoperiod, the longer the pre-flowering phase duration. In the critical period of 30d post-flowering, yield was not associated to the photothermal quotient. In winter genotypes, yield was associated to a linear model which included rainfall during the crop cycle, radiation and pre-flowering temperatures [R2=0.50]. The model was adequately validated with independent data [n=116] from official trials. For spring genotypes, only the frost occurrences during the critical period were relevant [R2=0.26] and placing the flowering time after October decreased the risk of late frost damage. Water use efficiency [WUE] values ranged from 1.6 to 6.7kgha-1 per mm of rain without a clear trend between spring and winter genotypes for this trait. In conclusion, winter genotypes did not necessarily yield more than the spring materials. In addition, rainfall during the crop cycle and frost occurrences during flowering were the main limiting factors of the winter and spring genotype yields, respectively, in the southeastern Pampas. | ||
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