Relating goat milk production according to the Normalized Difference Vegetation Index and precipitations in the Chaco forest throughout the 2016-2018 period

This work aimed to quantify and relate goat milk production and the Normalized Difference of Vegetation Index of the semiarid Chaco forest and the monthly average precipitation along the 2016-2018 period. The work was carried out in El Polear, in Santiago del Estero, Argentina. Even though the NDVI...

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Autores principales: Tiedemann, José L., Leguizamón Carate, Jorge Nelson, Salinas, Florencia, Frau, Silvia Florencia
Formato: Articulo
Lenguaje:Inglés
Publicado: 2021
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Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/131675
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id I19-R120-10915-131675
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spelling I19-R120-10915-1316752024-08-21T18:34:15Z http://sedici.unlp.edu.ar/handle/10915/131675 Relating goat milk production according to the Normalized Difference Vegetation Index and precipitations in the Chaco forest throughout the 2016-2018 period Producción de leche caprina y su relación con el Índice de Vegetación de Diferencia Normalizada y las precipitaciones del Bosque Chaqueño Semiárido en el periodo 2016-2018 Tiedemann, José L. Leguizamón Carate, Jorge Nelson Salinas, Florencia Frau, Silvia Florencia 2021-12-22 2022-02-24T19:02:59Z en Ciencias Agrarias time series seasonality natural forest drought milk recording Series temporales estacionalidad bosque nativo sequía control lechero This work aimed to quantify and relate goat milk production and the Normalized Difference of Vegetation Index of the semiarid Chaco forest and the monthly average precipitation along the 2016-2018 period. The work was carried out in El Polear, in Santiago del Estero, Argentina. Even though the NDVI of the forest and its lower strata biomass productivity were affected by drought, its milk production curve remained unaffected. This may be due to the forest stability resulting from the deep rooted trees that includes, to the strategic displacement of the phenophase in its lower strata (broadleaves, herbaceous) in drought seasons and the adaptation to the changes in the goat diet selectivity before forage fluctuations. Winter NDVI peaks should be considered for new lines of research on their contribution to the energetic reserves of the goat component at the beginning of winter. Significant straight relationships (p<0.05) were found between the average goat milk production and the average monthly precipitation (r=0.64) as well as the NDVI and the semiarid Chaco forest (r=0.59). The resulting linear models involving goat milk production with both precipitation and NDVI had moderate and significant (p<0.05) explaining power (R2=0.41) and (R2=0.35), respectively. These models make the seasonal goat milk production predictable and the planning and the making decision process of both producers and the agroindustry easier. El objetivo de este trabajo fue cuantificar y relacionar la producción de leche caprina con el Índice de Vegetación de Diferencia Normalizada del Bosque Chaqueño semiárido y la precipitación media mensual en el periodo 2016-2018. El estudio fue realizado en El Polear, Santiago del Estero, Argentina. El NDVI del bosque y la productividad de biomasa de sus estratos inferiores fueron afectados por sequía. La curva de producción de leche no fue afectada por la sequía, y se debe a la estabilidad del bosque con leñosas de raíces profundas, a los estratégicos desplazamiento de fenofases de los estratos inferiores del bosque (latifoliadas y herbáceas) en épocas de sequía y a la adaptación a cambios en la selectividad de la dieta de los caprinos ante fluctuaciones de forraje. Los picos de NDVI de invierno deberían ser considerados para nuevas líneas de investigación sobre el aporte de los mismos a las reservas energéticas del componente caprino ante la entrada del invierno. Significativas relaciones directas (p<0.05) fueron encontradas entre la producción media de leche caprina y la precipitación media mensual (r=0.64) y entre el NDVI del Bosque Chaqueño semiárido (r=0.59). Los modelos lineales resultantes, entre la producción de Leche caprina con la Precipitación y el NDVI tuvieron, respectivamente, moderado y significativo (p<0.05) poder explicativo (R2=0.41) y (R2=0.35). Los modelos lineales obtenidos posibilitan predecir la producción de leche estacional facilitando la planificación y toma de decisión tanto a productores como a la agroindustria. Facultad de Ciencias Agrarias y Forestales Articulo Articulo http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Agrarias
time series
seasonality
natural forest
drought
milk recording
Series temporales
estacionalidad
bosque nativo
sequía
control lechero
spellingShingle Ciencias Agrarias
time series
seasonality
natural forest
drought
milk recording
Series temporales
estacionalidad
bosque nativo
sequía
control lechero
Tiedemann, José L.
Leguizamón Carate, Jorge Nelson
Salinas, Florencia
Frau, Silvia Florencia
Relating goat milk production according to the Normalized Difference Vegetation Index and precipitations in the Chaco forest throughout the 2016-2018 period
topic_facet Ciencias Agrarias
time series
seasonality
natural forest
drought
milk recording
Series temporales
estacionalidad
bosque nativo
sequía
control lechero
description This work aimed to quantify and relate goat milk production and the Normalized Difference of Vegetation Index of the semiarid Chaco forest and the monthly average precipitation along the 2016-2018 period. The work was carried out in El Polear, in Santiago del Estero, Argentina. Even though the NDVI of the forest and its lower strata biomass productivity were affected by drought, its milk production curve remained unaffected. This may be due to the forest stability resulting from the deep rooted trees that includes, to the strategic displacement of the phenophase in its lower strata (broadleaves, herbaceous) in drought seasons and the adaptation to the changes in the goat diet selectivity before forage fluctuations. Winter NDVI peaks should be considered for new lines of research on their contribution to the energetic reserves of the goat component at the beginning of winter. Significant straight relationships (p<0.05) were found between the average goat milk production and the average monthly precipitation (r=0.64) as well as the NDVI and the semiarid Chaco forest (r=0.59). The resulting linear models involving goat milk production with both precipitation and NDVI had moderate and significant (p<0.05) explaining power (R2=0.41) and (R2=0.35), respectively. These models make the seasonal goat milk production predictable and the planning and the making decision process of both producers and the agroindustry easier.
format Articulo
Articulo
author Tiedemann, José L.
Leguizamón Carate, Jorge Nelson
Salinas, Florencia
Frau, Silvia Florencia
author_facet Tiedemann, José L.
Leguizamón Carate, Jorge Nelson
Salinas, Florencia
Frau, Silvia Florencia
author_sort Tiedemann, José L.
title Relating goat milk production according to the Normalized Difference Vegetation Index and precipitations in the Chaco forest throughout the 2016-2018 period
title_short Relating goat milk production according to the Normalized Difference Vegetation Index and precipitations in the Chaco forest throughout the 2016-2018 period
title_full Relating goat milk production according to the Normalized Difference Vegetation Index and precipitations in the Chaco forest throughout the 2016-2018 period
title_fullStr Relating goat milk production according to the Normalized Difference Vegetation Index and precipitations in the Chaco forest throughout the 2016-2018 period
title_full_unstemmed Relating goat milk production according to the Normalized Difference Vegetation Index and precipitations in the Chaco forest throughout the 2016-2018 period
title_sort relating goat milk production according to the normalized difference vegetation index and precipitations in the chaco forest throughout the 2016-2018 period
publishDate 2021
url http://sedici.unlp.edu.ar/handle/10915/131675
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