Diets containing leucaena or estilosantes hay in lactating mixed-breed Anglo-Nubian goats

Câmara, Cauê Soares; Alves, Arnaud Azevêdo; Filho, Miguel Arcanjo Moreira; Garcez, Bruno Spíndola; Azevêdo, Danielle Maria Machado Ribeiro

doi:10.5935/1806-6690.20150025

Cited by 3 publications

(3 citation statements)

References 7 publications

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“…Evaluating the association or not of legume hay with concentrate in goat diets Anglo-Nubiano, Câmara et al (2015) observed that the intake of DM, NDF, ADF and TDN did not differ. The authors associated this response with the fiber content of legumes used, styles and leucine, which are forages with higher fiber content.…”

Section: Discussionmentioning

confidence: 99%

Replacement of alfalfa hay for tropical legumes in goats diets / Substituição do feno de alfafa pelo de leguminosas tropicais em dietas de caprinos

Almeida¹,

Soares²,

Val³

et al. 2021

BJDV

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The aim of this study was to evaluate the effect of alfalfa hay replacement by tropical legume hay on goat diets. Four diets were formulated using: 1) perennial soybean hay; 2) tropical kudzu; 3) macrotiloma and 4) alfalfa, in a roughage/concentrate ratio of 25/75. Eight castrated crossbred (Boer x Saanen) animals, with a mean weight of 17.8 kg (4 months of age), were arranged in a 4 x 4 double Latin Square Design. Intake of dry matter (DM), organic matter (OM), crude protein (CP), total carbohydrates (TC), ether extract (EE), non-fibrous carbohydrates (NFC) and total digestible nutrients (TDN) were not affected by the legume species. On the other hand, the intake of acid detergent fiber (ADF) was lower in the diet formulated with alfalfa, compared to the other legumes (P<0.05), since this presented lower levels in this diet. The digestibility of DM, OM, CP, ADF, TC and NFC did not differ among the four treatments (P>0.05). However, EE digestibility was lower in the diet with alfalfa compared to ration with tropical kudzu and perennial soybeans. The digestibility of this constituent between the diet formulated with tropical kudzu and those formulated with macrotiloma and perennial soybean (P < 0.05), and the digestibility of the NDF of the ration prepared with perennial soybean was higher than the other legumes. There was no difference for the nitrogen balance between the different diets, indicating that these legumes are options for replacement of alfalfa hay in goat diets.

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Section: Discussionmentioning

confidence: 99%

Replacement of alfalfa hay for tropical legumes in goats diets / Substituição do feno de alfafa pelo de leguminosas tropicais em dietas de caprinos

Almeida¹,

Soares²,

Val³

et al. 2021

BJDV

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“…Flourishing in acidic soils, Leucaena demonstrates minimal nutrient requirements, making it an ideal candidate for areas with low soil fertility. Its deep-rooting system enables it to tap into water reserves in deeper soil layers, rendering it resilient to drought conditions [8,31] .…”

Section: Leucaena (Leucaena Leucocephala)mentioning

confidence: 99%

Advancing Agricultural Sustainability in Tropical Climates: Harnessing the Potential of Green Manuring

Coelho,

Prins,

Rocha

et al. 2024

Preprint

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This review delves into the pivotal role of green manure in advancing agricultural sustainability and enhancing soil fertility. It emphasizes the wide-ranging ecological benefits of green manure practices, particularly in tropical regions, where it fosters multiple biological processes such as nitrogen fixation and nutrient cycling. The text provides an in-depth exploration of specific green manure species, their characteristics, practical considerations, and the physical, biological, and chemical effects they have on soil. It also discusses the practical implementation of green manure techniques, including cropping, intercropping, and strip or alley cultivation. The study emphasizes the critical need for species selection and effective green manure management, shedding light on their profound impact on crop productivity and environmental sustainability. With comprehensive details on various species and their practical implications, the study offers a comprehensive understanding of green manure's potential as an alternative source to mineral fertilizers in tropical agriculture.

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“…Its growth is relatively fast, making it promising for exploration in semiarid regions (Walker, 2012), which justifies the work done with this species in dry forests. In addition, its potential is associated with its ability to regrow, resist drought, adapt to soil conditions, productivity, and acceptance by animals as food (Câmara et al, 2015;Crawford et al, 2015;Azuara-Morales et al, 2020;Barros et al, 2020;Dueñas et al, 2020). The energy potential of its wood is similar to that of Eucalyptus grandis W. Hill (ex Maiden) (Machado, Andrade, Silva, Sena, & Thode-Filho, 2014), whose calorific capacity is adequate for charcoal production (Silva et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Image analysis of seeds and machine learning as a tool for distinguishing populations: Applied to an invasive tree species

Felix,

Chagas,

Araújo

et al. 2023

Acta Sci. Agron.

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Invasive species threaten crops and ecosystems worldwide. Therefore, we sought to understand the relationship between the geographic distribution of species populations and the characteristics of seeds using new techniques such as seed image analysis, multivariate analysis, and machine learning. This study aimed to characterize Leucaena leucocephala (Lam.) de Wit. seeds from spatially dispersed populations using digital images and analyzed their implications for genetic studies. Seed size and shape descriptors were obtained using image analysis of the five populations. Several analyses were performed including descriptive statistics, principal components, Euclidean distance, Mantel correlation test, and supervised machine learning. This image analysis technique proved to be efficient in detecting biometric differences in L. leucocephala seeds from spatially dispersed populations. This method revealed that spatially dispersed L. leucocephala populations had different biometric seed patterns that can be used in studies of population genetic divergence. We observed that it is possible to identify the origin of the seeds from the biometric characters with 80.4% accuracy (Kappa statistic 0.755) when we applied the decision tree algorithm. Digital imaging analysis associated with machine learning is promising for discriminating forest tree populations, supporting management activities, and studying population genetic divergence. This technique contributes to the understanding of genotype-environment interactions and consequently identifies the ability of an invasive species to spread in a new area, making it possible to track and monitor the flow of seeds between populations and other sites.

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Diets containing leucaena or estilosantes hay in lactating mixed-breed Anglo-Nubian goats

Cited by 3 publications

References 7 publications

Replacement of alfalfa hay for tropical legumes in goats diets / Substituição do feno de alfafa pelo de leguminosas tropicais em dietas de caprinos

Replacement of alfalfa hay for tropical legumes in goats diets / Substituição do feno de alfafa pelo de leguminosas tropicais em dietas de caprinos

Advancing Agricultural Sustainability in Tropical Climates: Harnessing the Potential of Green Manuring

Image analysis of seeds and machine learning as a tool for distinguishing populations: Applied to an invasive tree species

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