The growth and development of cowpeas (<i>Vigna unguiculata</i>) under tropical field conditions: 1. Leaf area

Littleton, E. J.; Dennett, M. D.; Elston, J.; Monteith, J. L.

doi:10.1017/s0021859600037977

Cited by 38 publications

(27 citation statements)

References 19 publications

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“…Soon after, an accelerated vegetative growth was observed, with maximum values of LAI, observed and simulated, varying from 3 to 4.3, in 1997 and 1998, respectively. The number of days to reach the maximum LAI values ranged from 45 to 60 DAP, which is in agreement with the results obtained by Littleton et al (1979). This variation may be associated with differences in planting date and seasonal variation in the air temperature (Summerfield et al, 1983).…”

Section: Resultssupporting

confidence: 88%

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Simulation of growth and development of irrigated cowpea in Piauí State by CROPGRO model

Bastos¹,

Folegatti

Faria

et al. 2002

Pesq. agropec. bras.

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-The objective of this work was to adapt the CROPGRO model, which is part of the DSSAT system, for simulating the cowpea (Vigna unguiculata) growth and development under soil and climate conditions of the Baixo Parnaíba region, Piauí State, Brazil. In the CROPGRO, only input parameters that define crop species, cultivars, and ecotype were changed in order to characterize the cowpea crop. Soil and climate files were created for the considered site. Field experiments without water deficit were used to calibrate the model. In these experiments, dry matter (DM), leaf area index (LAI), yield components and grain yield of cowpea (cv. BR 14 Mulato) were evaluated. The results showed good fit for DM and LAI estimates. The medium values of R 2 and medium absolute error (MAE) were, respectively, 0.95 and 264.9 kg ha -1 for DM, and 0.97 and 0.22 for LAI. The difference between observed and simulated values of plant phenology varied from 0 to 3 days. The model also presented good performance for yield components simulation, excluding 100-grain weight, for which the error ranged from 20.9% to 34.3%. Considering the medium values of crop yield in two years, the model presented an error from 5.6%.Index terms: Vigna unguiculata, models, climatic factors, edaphic factor, water availability, DSSAT. Simulação do crescimento e desenvolvimento do caupi irrigado no Estado do Piauí pelo modelo CROPGROResumo -O objetivo deste trabalho foi adaptar o modelo CROPGRO, o qual faz parte do sistema DSSAT, para simular o crescimento e desenvolvimento do caupi (Vigna unguiculata) nas condições de solo e clima do Baixo Parnaíba, Piauí. No CROPGRO, foram modificados apenas parâmetros que definem os arquivos de espécie, de cultivar e de ecótipo, visando caracterizar a cultura do caupi. Foram criados arquivos contendo as características de solo e de clima do referido local. Na calibração do modelo, foram utilizados experimentos de campo sem restrições hídricas nos quais foram avaliados a matéria seca (MS), o índice de área foliar (IAF), os componentes de produção e a produtividade de grãos da cultivar BR 14 Mulato. Os valores médios dos R 2 e do erro absoluto médio (EAM) foram, respectivamente, 0,95 e 264,9 kg ha -1 quanto à MS, e 0,97 e 0,22 quanto ao IAF. A diferença entre os valores observados e simulados da fenologia da planta variaram entre 0 e 3 dias. O modelo também apresentou bom desempenho nas simulações dos componentes de produção, exceto quanto ao peso de 100 grãos, cujos erros de estimativa variaram de 20,9% a 34,3%. Considerando os valores médios de produtividade de grãos de dois anos, o modelo apresentou erro de 5,6%.Termos para indexação: Vigna unguiculata, modelo, fator climático, fator edáfico, disponibilidade hídrica, DSSAT.

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Section: Resultssupporting

confidence: 88%

“…This is a common characteristic in cowpea, as observed by Littleton et al (1979), Castro et al (1984), Phogat et al (1984) and Sivakumar et al (1996). Soon after, an accelerated vegetative growth was observed, with maximum values of LAI, observed and simulated, varying from 3 to 4.3, in 1997 and 1998, respectively.…”

Section: Resultsmentioning

confidence: 58%

Simulation of growth and development of irrigated cowpea in Piauí State by CROPGRO model

Bastos¹,

Folegatti

Faria

et al. 2002

Pesq. agropec. bras.

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“…From the same studies they have also described the pattern of accumulation and partition of dry weight and how this is influenced by the incident radiation, the fraction of the radiation intercepted and the efficiency with which it is used (Littleton et al 19796).…”

Section: Symposium Proceedings 1982mentioning

confidence: 99%

Objectives and achievements in the improvement of grain legumes

Goldsworthy

1982

Proc. Nutr. Soc.

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“…Littleton et al (1979) observed the rate of leaf appearance of cowpea plants grown in the field at Ibadan, Nigeria, from December 1973to March 1976 six experiments with only the cultivar TVu4552. Littleton et al (1979) observed the rate of leaf appearance of cowpea plants grown in the field at Ibadan, Nigeria, from December 1973to March 1976 six experiments with only the cultivar TVu4552.…”

mentioning

confidence: 99%

“…Littleton et al (1979) observed the rate of leaf appearance of cowpea plants grown in the field at Ibadan, Nigeria, from December 1973to March 1976 six experiments with only the cultivar TVu4552. Therefore, the phyllochron in the Littleton et al (1979) study was equal to 30°C. The rates were plotted against mean temperature, and the correlation coefficient was used to estimate the base temperature from a regression equation.…”

mentioning

confidence: 99%

Quantifying Leaf Area Development Parameters for Cowpea [Vigna unguiculata (L.) Walpers]

et al. 2016

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Cowpea [Vigna unguiculata (L.) Walpers] is a major crop legume for the Sahelian zone in Africa. An accurate simulation of the growth and yield for cowpea that considers the environment would be a robust tool for evaluating improved management and plant genetics. The objective of this study was to parameterize a simple model framework to describe cowpea leaf area development. To obtain field data in divergent environments, leaf area development was measured for four genotypes at two sites: Patancheru, India, and Bambey, Senegal. In addition, the effect of plant density was tested at Patancheru. Leaf area development was considered in two steps: the increase in main stem node number as a function of temperature (i.e., phyllochron) and plant leaf area as a function of main stem node number. The difference in phyllochron values among genotypes was not significant at Bambey, but one genotype at Patancheru significantly diverged from the others. Also, there was a plant density effect at Patancheru, especially for genotype Suvita‐2. An allometric power function, used to calculate plant leaf area based on the number of nodes, required two parameters: PLAPOW, the exponent in the function, and PLACON, the linear multiplier of the equation. Determination of the two parameters at Patancheru showed a genotype effect in both site and plant‐density effect. To examine the practical impact of genotypic differences and density effects in light interception and shading, estimated leaf development parameters were used to calculate light interception. There was very little variation in light interception resulting from the observed range in leaf phyllochron, PLAPOW, and PLACON and in density responses among the cowpea genotypes. The results of these experiments showed that, in most cases, a single set of parameters can be used to describe light interception by cowpea leaf canopies.

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The growth and development of cowpeas (Vigna unguiculata) under tropical field conditions: 1. Leaf area

Cited by 38 publications

References 19 publications

Simulation of growth and development of irrigated cowpea in Piauí State by CROPGRO model

Simulation of growth and development of irrigated cowpea in Piauí State by CROPGRO model

Objectives and achievements in the improvement of grain legumes

Quantifying Leaf Area Development Parameters for Cowpea [Vigna unguiculata (L.) Walpers]

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