Abstract
Agricultural production in semi-arid areas of the globe is dependent on species adapted to conditions of low availability of resources, such as water. Cowpea (Vigna unguiculata L. Walp.) is a vegetable widely grown in regions with water restrictions, however, even with its good adaptability, it is vulnerable to the effects of prolonged droughts. In this sense, this research aimed to analyze the influence of rainfall patterns on the production dynamics of cowpea during the period of fifteen years (2002-2016) in the municipality of Conceição, ParaÃba, Brazil. A correlation matrix was used to analyze the influence of precipitation on the production variables of the cowpea crop, as well as the relationship between these variables. Subsequently, the Principal Component Analysis (PCA) was carried out. The results showed a strong reduction in the production variables of cowpea from the year 2012, which is due to the reduction of rainfall in this period and was proven through the correction matrix, which showed a positive correlation of rainfall mainly with the planted and harvested area. The PCA recorded 91.02% of explanation in the first two axes, and demonstrated that for production and productivity, other factors in addition to good rainfall levels are necessary to increase the productive results of cowpea in the municipality.
References
- AESA. Agência Executiva de Gestão das Ãguas do Estado da ParaÃba. 2020. Monitoramento. DisponÃvel em: http://www.aesa.pb.gov.br/. Acesso em: 11 de janeiro de 2020.
- ALEMU, S.; ALEMU, M.; ASFAW, Z.; WOLDU, Z.; FENTA, B. A. Cowpea (Vigna unguiculata (L.) Walp., Fabaceae) landrace (local farmers’ varieties) diversity and ethnobotany in Southwestern and Eastern parts of Ethiopia. African Journal of Agricultural Research, v. 14, n. 24, p. 1029-1041, 2019. DOI: https://doi.org/10.5897/AJAR2018.13641
- ALVALA, R.; CUNHA, A. P.; BRITO, S. S.; SELUCHI, M. E.; MARENGO, J. A.; MORAES, O. L.; CARVALHO, M. A. Drought monitoring in the Brazilian Semiarid region. Anais da Academia Brasileira de Ciências, v. 91, n.1, e20170209, 2017. DOI: https://doi.org/10.1590/0001-3765201720170209
- ANDRADE JUNIOR, A. S.; BASTOS, E. A.; SILVA, M. V. P.; SILVA JUNIOR, J. S.; MONTEIRO, J. E. B. A. Ãndice de satisfação da necessidade de água do feijão-caupi sob sistema de cultivo convencional e plantio direto. Agrometeoros, v. 26, n. 1, p. 201-211, 2018. DOI: http://dx.doi.org/10.31062/agrom.v26i1.26371
- ARAÚJO, B. A.; QUEIROZ, T. R. G.; TORRES, W. L. V.; MOREIRA, F. J. C. Veranicos na produtividade de feijão-caupi (Vigna unguiculata) no municÃpio de Crateús, Ceará. Revista Verde de Agroecologia e Desenvolvimento Sustentável, v. 14, n. 2, p. 312-316, 2019. DOI: https://doi.org/10.18378/rvads.v14i2.6123
- BATISTA, M. C.; SANTOS, J. P. O.; SILVA FILHO, J. A.; SOUSA, J. I.; FELIX, R. J. S.; SILVA, J. L. C. Influence of rainfall variability on bean production (Phaseolus vulgaris L.) in a municipality of Brazilian semiarid. Journal of Environmental Analysis and Progress, v. 3, n. 1, p. 001-007, 2018. DOI: https://doi.org/10.24221/jeap.3.1.2018.1590.001-007
- BERHANE, A.; HADGU, G.; WORKU, W.; ABRHA, B. Trends in extreme temperature and rainfall indices in the semi-arid areas of Western Tigray, Ethiopia. Environmental Systems Research, v. 9, n. 1, p. 1-20, 2020. DOI: https://doi.org/10.1186/s40068-020-00165-6
- BOUKAR, O.; BELKO, N.; CHAMARTHI, S.; TOGOLA, A.; BATIENO, J.; OWUSU, E. et al. Cowpea (Vigna unguiculata): Genetics, genomics and breeding. Plant Breeding, v. 137, n. 3, p.1-10, 2018. DOI: https://doi.org/10.1111/pbr.12589
- CHAI, Q.; GAN, Y.; ZHAO, C.; XU, H. L.; WASKOM, R. M.; NIU, Y.; SIDDIQUE, K. H. Regulated deficit irrigation for crop production under drought stress. A review. Agronomy for Sustainable Development, v. 36, n. 1, p. 3, 2016. DOI: https://doi-org.ez15.periodicos.capes.gov.br/10.1007/s13593-015-0338-6
- CHEN, H.; WANG, L.; LIU, X.; HU, L.; WANG, S.; CHENG, X. De novo transcriptomic analysis of cowpea (Vigna unguiculata L. Walp.) for genic SSR marker development. BMC genetics, v. 18, n. 1, e65, 2017. DOI: https://doi.org/10.1186/s12863-017-0531-5
- CUNHA, A. P. M.; TOMASELLA, J.; RIBEIROâ€NETO, G. G.; BROWN, M.; GARCIA, S. R.; BRITO, S. B.; CARVALHO, M. A. Changes in the spatial–temporal patterns of droughts in the Brazilian Northeast. Atmospheric Science Letters, v. 19, n. 10, p. e855, 2018. DOI: https://doi.org/10.1002/asl.855
- DUARTE, J. G. P.; FARIAS, A. A. D.; SOUSA, F. D. A. S. D.; SOUZA, J. T. A.; RAMOS, M. M. Q. Secas e Impactos na Agropecuária no MunicÃpio de Campina Grande-PB. Revista Brasileira de Meteorologia, v. 33, n. 2, p. 289-297, 2018. DOI: https://doi.org/10.1590/0102-7786332008
- FAYE, M.; FALL, A.; FAYE, G.; VAN HECKE, E. La variabilité pluviométrique et ses incidences sur les rendements agricoles dans la région des Terres Neuves du Sénégal oriental. Belgeo. Revue Belge de Géographie, v. 2018, n. 1, p. 1-16, 2018. DOI: https://doi.org/10.4000/belgeo.22083
- GOLDBLATT, R.; BALLESTEROS, A. R.; BURNEY, J. High spatial resolution visual band imagery outperforms medium resolution spectral imagery for ecosystem assessment in the semi-arid brazilian sertão. Remote Sensing, v. 9, n. 12, p. 1336, 2017. DOI: https://doi.org/10.3390/rs9121336
- GONÇALVES, A.; GOUFO, P.; BARROS, A.; DOMÃNGUEZâ€PERLES, R.; TRINDADE, H.; ROSA, E. A. et al. Cowpea (Vigna unguiculata L. Walp), a renewed multipurpose crop for a more sustainable agriâ€food system: nutritional advantages and constraints. Journal of the Science of Food and Agriculture, v. 96, n. 9, p. 2941-2951, 2016. DOI: https://doi.org/10.1002/jsfa.7644
- GRANADOS, R.; SORIA, J.; CORTINA, M. Rainfall variability, rainfed agriculture and degree of human marginality in North Guanajuato, Mexico. Singapore Journal of Tropical Geography, v. 38, n. 2, p. 153-166, 2017. DOI: https://doi.org/10.1111/sjtg.12191
- IBGE. Instituto Brasileiro de Geografia e EstatÃstica. Infográficos. 2020. DisponÃvel em: https://cidades.ibge.gov.br/brasil/pb/conceicao/panorama. Acesso em 16 de janeiro de 2020.
- LOPES, J. R. F.; DANTAS, M. P.; FERREIRA, F. E. P. Variabilidade da precipitação pluvial e produtividade do milho no semiárido brasileiro através da análise multivariada. Nativa, v. 7, n. 1, p. 77-83, 2019. DOI: http://dx.doi.org/10.31413/nativa.v7i1.6243
- MARENGO, J. A.; BERNASCONI, M. Regional differences in aridity/drought conditions over Northeast Brazil: present state and future projections. Climatic Change, v. 129, n. 1-2, p. 103-115, 2015. DOI: https://doi.org/10.1007/s10584-014-1310-1
- MARTINS, M. A.; TOMASELLA, J.; DIAS, C. G. Maize yield under a changing climate in the Brazilian Northeast: Impacts and adaptation. Agricultural Water Management, v. 216, p. 339-350, 2019. DOI: https://doi.org/10.1016/j.agwat.2019.02.011
- NASCIMENTO, S. P.; BASTOS, E. A.; ARAÚJO, E. C. E.; FREIRE FILHO, F. R.; SILVA, E. M. Tolerância ao déficit hÃdrico em genótipos de feijão-caupi. Revista Brasileira de Engenharia AgrÃcola e Ambiental, v.15, p.853-860, 2011. DOI: https://doi.org/10.1590/S1415-43662011000800013
- OLAYIDE, O. E.; ALABI, T. Between rainfall and food poverty: Assessing vulnerability to climate change in an agricultural economy. Journal of Cleaner Production, v. 198, p. 1-10, 2018. DOI: https://doi.org/10.1016/j.jclepro.2018.06.221
- OLAYIDE, O. E.; TETTEH, I. K.; POPOOLA, L. Differential impacts of rainfall and irrigation on agricultural production in Nigeria: Any lessons for climate-smart agriculture?. Agricultural Water Management, v. 178, p. 30-36, 2016. DOI: https://doi.org/10.1016/j.agwat.2016.08.034
- R DEVELOPMENT CORE TEAM. R Foundation For Statistical Computing. R: A Language and Environment for Statistical Computing. Viena, Ãustria. 2006. ISBN: 3-900051-07-0. DisponÃvel em: http://www.R-project.org. Acesso em 14 de janeiro de 2020.
- ROSSATO, L.; ALVALÃ, R. C.; MARENGO, J. A.; ZERI, M.; CUNHA, A. P.; PIRES, L.; BARBOSA, H. A. Impact of soil moisture on crop yields over Brazilian semiarid. Frontiers in Environmental Science, v. 5, n. 73, p. 1-16, 2017. DOI: https://doi.org/10.3389/fenvs.2017.00073
- SIDRA - Sistema IBGE de Recuperação Automática. Produção AgrÃcola Municipal. 2020. DisponÃvel em: https://sidra.ibge.gov.br/pesquisa/pam/tabelas. Acesso em: 11 de janeiro de 2020.
- XIONG, H.; SHI, A.; MOU, B.; QIN, J.; MOTES, D.; LU, W. et al. Genetic diversity and population structure of cowpea (Vigna unguiculata L. Walp). PLoS One, v. 11, n. 8, e0160941, 2016. DOI: https://doi.org/10.1371/journal.pone.0160941
- YOUSIF, L. A.; KHATIR, A. A.; EL-HAG, F. M.; ABDELKARIM, A. M.; ADAM, H. S.; WAHAB, A. A. et al. Rainfall variability and its implications for agricultural production in Gedarif State, Eastern Sudan. African Journal of Agricultural Research, v. 13, n. 31, p. 1577-1590, 2018. DOI: https://doi.org/10.5897/AJAR2018.13365