Wheat yield variability in the S.E. of the Province of Buenos Aires
Even though advances in technology at the beginning of the fifties resulted in a significant tendency for increases in the yield of most cereals and oil seeds grown in the extensive rain-fed agricultural lands of the humid Pampa, inter-annual variability is still appreciable and there is a consensus...
Guardado en:
| Autores principales: | , |
|---|---|
| Formato: | JOUR |
| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_01681923_v49_n4_p281_Sierra |
| Aporte de: |
| id |
todo:paper_01681923_v49_n4_p281_Sierra |
|---|---|
| record_format |
dspace |
| spelling |
todo:paper_01681923_v49_n4_p281_Sierra2023-10-03T15:06:21Z Wheat yield variability in the S.E. of the Province of Buenos Aires Sierra, E.M. Brynsztein, S.M. climatic variability discriminant analysis inter-annual variability multi-variate analysis wheat yield yield variability Argentina, Buenos Aires Argentina, Province of Buenos Aires Even though advances in technology at the beginning of the fifties resulted in a significant tendency for increases in the yield of most cereals and oil seeds grown in the extensive rain-fed agricultural lands of the humid Pampa, inter-annual variability is still appreciable and there is a consensus in attributing it to climatic causes. In order to prove this hypothesis, an exploratory analysis was made using the wheat yield series of 1923-1985 in the Partido of Tres Arroyos in the S.E. of the Province of Buenos Aires. Climatic variability was introduced by means of monthly precipitation and temperature for the 12 months of each year of the series. Yield data were divided into three groups: good, average and bad. By means of multivariate discriminant analysis, it was verified that the yield groups divide the complete series of the associated climatic variables in a statistically significant way. Starting from the discriminant functions, a yield forecast was performed showing that it would be possible to infer at the end of September, with an error not greater than one category, the yield level that would be verified for the December-January harvest, with a 92% probability of success. © 1990. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_01681923_v49_n4_p281_Sierra |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-134 |
| collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
climatic variability discriminant analysis inter-annual variability multi-variate analysis wheat yield yield variability Argentina, Buenos Aires Argentina, Province of Buenos Aires |
| spellingShingle |
climatic variability discriminant analysis inter-annual variability multi-variate analysis wheat yield yield variability Argentina, Buenos Aires Argentina, Province of Buenos Aires Sierra, E.M. Brynsztein, S.M. Wheat yield variability in the S.E. of the Province of Buenos Aires |
| topic_facet |
climatic variability discriminant analysis inter-annual variability multi-variate analysis wheat yield yield variability Argentina, Buenos Aires Argentina, Province of Buenos Aires |
| description |
Even though advances in technology at the beginning of the fifties resulted in a significant tendency for increases in the yield of most cereals and oil seeds grown in the extensive rain-fed agricultural lands of the humid Pampa, inter-annual variability is still appreciable and there is a consensus in attributing it to climatic causes. In order to prove this hypothesis, an exploratory analysis was made using the wheat yield series of 1923-1985 in the Partido of Tres Arroyos in the S.E. of the Province of Buenos Aires. Climatic variability was introduced by means of monthly precipitation and temperature for the 12 months of each year of the series. Yield data were divided into three groups: good, average and bad. By means of multivariate discriminant analysis, it was verified that the yield groups divide the complete series of the associated climatic variables in a statistically significant way. Starting from the discriminant functions, a yield forecast was performed showing that it would be possible to infer at the end of September, with an error not greater than one category, the yield level that would be verified for the December-January harvest, with a 92% probability of success. © 1990. |
| format |
JOUR |
| author |
Sierra, E.M. Brynsztein, S.M. |
| author_facet |
Sierra, E.M. Brynsztein, S.M. |
| author_sort |
Sierra, E.M. |
| title |
Wheat yield variability in the S.E. of the Province of Buenos Aires |
| title_short |
Wheat yield variability in the S.E. of the Province of Buenos Aires |
| title_full |
Wheat yield variability in the S.E. of the Province of Buenos Aires |
| title_fullStr |
Wheat yield variability in the S.E. of the Province of Buenos Aires |
| title_full_unstemmed |
Wheat yield variability in the S.E. of the Province of Buenos Aires |
| title_sort |
wheat yield variability in the s.e. of the province of buenos aires |
| url |
http://hdl.handle.net/20.500.12110/paper_01681923_v49_n4_p281_Sierra |
| work_keys_str_mv |
AT sierraem wheatyieldvariabilityintheseoftheprovinceofbuenosaires AT brynszteinsm wheatyieldvariabilityintheseoftheprovinceofbuenosaires |
| _version_ |
1782024542619697152 |