Classification of Megathyrsus Maximus Accessions Grown in the Colombian Dry Tropical Forest by Nutritional Assessment During Contrasting Seasons

Carvajal‐Tapia, Juliana Isabel; Mazabel, Johanna; Quila, Nelson José Vivas

doi:10.3389/fsufs.2021.684747

Cited by 3 publications

(2 citation statements)

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“…These were stable and consistently showed good values for all the variables and harvests evaluated. Accession 16062 showed potential for biological nitrification inhibition capacity (Carvajal‐Tapia, Mazabel, et al., 2021) and was classified in the group of accessions with the best nutritional profile in the rainy and dry season (Carvajal‐Tapia, Morales Velasco, et al., 2021).…”

Section: Resultsmentioning

confidence: 99%

“…It is adequate for associated pastures (Martínez‐Mamian et al., 2020) and for silvopastoral systems (Barragán‐Hernández & Cajas‐Girón, 2019; Paciullo et al., 2017; Santiago‐Hernández et al., 2016). It exhibits strength, resistance, and persistency under negative edaphoclimatic conditions in the dry tropics, with materials that report adequate nutritional composition (Carvajal‐Tapia, Morales Velasco, et al., 2021), and it shows characteristics of potential biological nitrification inhibition (Carvajal‐Tapia, Mazabel, et al., 2021; Villegas et al., 2020).…”

Section: Introductionmentioning

confidence: 99%

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Multivariate and multiharvesting trial for agronomic traits in the genetic resources of guineagrass

et al. 2022

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The diversity and use of forages and grasslands for animal feeding are essential in tropical livestock systems. Seasonal changes are mainly marked by variations in precipitation patterns. Grasslands are managed as perennial crops and therefore must be resilient to tolerate both dry and rainy seasons. The integration of animal production with the genetic aspects of forages is important for helping to identify resilient alternatives for sustainability in livestock systems. This study developed a multivariate and multiharvesting trial (MHT) for plant height, green forage weight (GFW), and dry matter yield (DMY) in a diversity panel of 130 accessions of guineagrass [Megathyrsus maximus (Jacq.) B.K. Simon & S.W.L. Jacobs] established in the Patía Valley of Colombia. Our study aims to identify interactions among weather conditions and different genotypes for agronomic variables as well as identify outstanding accessions for their productivity and adaptability. The entry mean heritability values were .88, .47, and .39 for the traits plant height, GFW, and DMY, respectively. The genetic correlations among different harvests ranged .5–.9 for plant height and .2–.9 for GFW. Heritability and genetic correlations suggest that plant height and yield are largely influenced by plant genetic effects. The correlation among plant height and yield was .42 for GFW and .33 for DMY. Negative correlations were not found in the agronomic behavior of the materials among the harvests under rainy and dry conditions. The MHT analyzed under the methodology of factor analysis revealed that accessions 16062 and 6982 stood out consistently for plant height, GFW, and DMY across different harvests. These findings strengthen processes in the search for resilient forages in the transition toward eco‐efficient livestock production and provide knowledge on which agronomic variables and forage materials to select, according to criteria of interest to both producers and plant breeders.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multivariate and multiharvesting trial for agronomic traits in the genetic resources of guineagrass

et al. 2022

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Agrometeorological and Agronomic Characterization of Megathyrsus Grasses Cultivated in Tropical Humid and Semi-Arid Conditions: A Multivariate Approach

et al. 2022

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Variability in climatic conditions of low-latitude tropical grass cultivation can affect forage production dynamics. Pasture ecosystems are complex and preferably studied from a multifactorial point of view through multivariate approaches. Therefore, in this study, we characterized different growing conditions for grasses of the Megathyrsus genus through studies conducted in tropical humid and semi-arid conditions. We applied principal component, canonical correlation, and discriminant function analyses to the measurements of agronomic and agrometeorological variables in six studies with Guinea and Massai grasses. The principal component analysis, through the climatic characterization by the first principal component, reflects the contrast between water availability and nitrogen variables and energy supply. Agronomic characterization occurred through the distinction between the density of tillers, forage accumulation, and increase in height, versus the accumulation of stems and dead material. The canonical correlation analysis generated a correlation coefficient of 0.84 between the agronomic and agrometeorological variables. There was a contrast between the dead material accumulation and the other agronomic variables, while the agrometeorological variables showed characteristics similar to the first principal component. Discriminant function 1, with 70.36% separation power, distinguished the cultivation conditions based on the study locations. Grass cultivars were differentiated by discriminant function 2, with a 19.20% separation power. From a multivariate variability analysis, despite the similarities of radiation and temperature in the regions studied, the availability of water and nutrients and measurements of agronomic variables can aid in future modeling studies on forage production.

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Water use of Guinea grass as affected by rainfed local conditions and practices in Sub-Saharan Africa

Ahmed,

M. Ishag,

M. Deifalla

2024

Turkish Journal of Range and Forage Science

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Ongoing efforts are currently being made to rehabilitate drought-affected pastures in Sub-Saharan Africa. One approach being explored is the introduction of non-native grass species, such as Megathyrsus maximus (Guinea grass). This study aims to investigate the water use of Guinea grass in semi-arid environments under rainfed conditions. Additionally, it aims to a better understanding of the variability of water use in Guinea grass through the utilization of the Bagging machine learning algorithm. Split-plot field experiments were carried out over two consecutive rainy seasons (2020-2021). The treatments included two in-situ rainwater harvesting practices, RWH (ridging plus terracing and terracing alone), three seeding rates, SR (1.5, 2.5, and 3.5 kg ha-1), and two soil nitrogen fertilization rates, SF (95 kg N ha-1 and 0 kg N ha-1). These treatments were compared to a control plot that involved zero-tillage, no fertilization, and no rainwater harvesting. The collected datasets were analyzed using R, SPSS 15, and spreadsheets. The results showed significant differences in plant indices and soil moisture content among the treatments. However, the treatments had insignificant effects on seasonal actual crop evapotranspiration (ETa), which ranged from 1.93 to 3.29 mm day-1. The interactions between SR and RWH were found to have significant impacts on water use. The Bagging algorithm revealed that the variability in ETa could be attributed to SR (42%), RWH (31%), and SF (26%), respectively. The implementation of rainwater harvesting practices resulted in a significant reduction in water usage, saving 86% of the green water used with a water footprint of 0.25 m3 kg-1, compared to 1.7 m3 kg-1 for no adoption of RWH conditions. The water use of rainfed Guinea grass was also found highly sensitive to dry spells. Further detailed studies using multiple-layer models are recommended to gain a better understanding of the non-linear interactions in semi-arid environments.

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Classification of Megathyrsus Maximus Accessions Grown in the Colombian Dry Tropical Forest by Nutritional Assessment During Contrasting Seasons

Cited by 3 publications

References 51 publications

Multivariate and multiharvesting trial for agronomic traits in the genetic resources of guineagrass

Multivariate and multiharvesting trial for agronomic traits in the genetic resources of guineagrass

Agrometeorological and Agronomic Characterization of Megathyrsus Grasses Cultivated in Tropical Humid and Semi-Arid Conditions: A Multivariate Approach

Water use of Guinea grass as affected by rainfed local conditions and practices in Sub-Saharan Africa

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