The path coefficient analysis of yield components for leaf nutrient concentrations in Mango (Mangifera indica L.) under rainfed agroclimatic conditions of north-west Himalaya

Kumar, Pramod; Sharma, Samriti; Sharma, Nisha; Devi, Meera

doi:10.1016/j.scienta.2015.02.042

Cited by 11 publications

(8 citation statements)

References 5 publications

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“…Estimates of heritability, variance components, and other indices of variability help to unravel the response to selection, magnitude of variation among the landraces, and the type of gene action governing important traits for breeding [22]. Furthermore, knowledge of correlation among important traits is very useful in indirect selection [23,24]. In this study, 196 AYB accessions were evaluated across three agro-ecologies in Nigeria using quantitative phenotypic characters with a view to (i) estimate the nature and magnitude of genetic variability, heritability and relationships among traits, and (ii) identify gene pools (clusters) within the population.…”

Section: Introductionmentioning

confidence: 99%

Assessing Intraspecific Variability and Diversity in African Yam Bean Landraces Using Agronomic Traits

et al. 2022

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Landraces are repositories for potential beneficial traits which could be used to develop varieties with enhanced qualities. Optimal utilization of the available large collection of landraces of African yam bean (AYB) presently conserved at the Genetic Resource Center, International Institute of Tropical Agriculture, Ibadan (GRC-IITA), requires an assessment of the magnitude and nature of genetic diversity within the germplasm. One hundred and ninety-six AYB accessions were evaluated during the 2018 and 2019 cropping seasons in three agro-ecologies of Nigeria, using a 14 × 14 triple lattice design. The accessions were assessed for fourteen agronomic traits. Accession, environment, and accession × environment interaction effects were significant (p < 0.05) for all the traits. Variances due to environment and accession × environment interaction were higher than the genotypic variances. Similarly, estimates of phenotypic coefficient of variation (PCV) were higher than genotypic coefficient of variation (GCV) for all traits. Broad-sense heritability ranged from 17.1% (days to maturity) to 66.4% (seed length). Seed yield per plant had positive significant genotypic correlation with all the studied traits, except pod length and seed length. The first three principal components accounted for 59.7% of the total variation among the accessions and comprised of the 14 traits. Five major clusters were delineated based on phenotypic characteristics. Genetic variation was present among the AYB accessions, and these results will be useful for setting breeding goals and conservation approaches.

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Section: Introductionmentioning

confidence: 99%

Assessing Intraspecific Variability and Diversity in African Yam Bean Landraces Using Agronomic Traits

et al. 2022

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“…It is a tropical tree species, with a broad canopy and evergreen leaves, that can tolerate long dry periods and low-nutrient soils, and also has efficient nutrient absorption (Ganeshamurthy and Reddy, 2015). Additionally, mango trees produce fruit that is a source of nutrients, vitamins and dietary fiber (Kumar et al, 2015). In this scenario, mango trees may be used to provide ecosystem services for trapping (soil quality and food production), and regulation (climatic regulation) (Ganeshamurthy and Reddy, 2015;Kumar et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

“…Additionally, mango trees produce fruit that is a source of nutrients, vitamins and dietary fiber (Kumar et al, 2015). In this scenario, mango trees may be used to provide ecosystem services for trapping (soil quality and food production), and regulation (climatic regulation) (Ganeshamurthy and Reddy, 2015;Kumar et al, 2015). In Brazil, the mango is the 7 th most-produced fruit, and in 2015 the country produced 976,815 t of mango and harvested 64,305 ha, with yield of 15.19 t ha -1 (IBGE, 2015).…”

Section: Introductionmentioning

confidence: 99%

Microclimate in understories of a mango orchard and a degraded area in the Eastern Amazon

Rodrigues¹,

Miranda²,

Sousa³

2018

Rev. ambiente água

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Changes in land use alter regional microclimate. This study compared the microclimate in understories of a mango orchard and a degraded area in the municipality of Salinópolis, in the northeast of the Brazilian State Pará, eastern Amazon. In both environments, the microclimate was monitored through collecting data on the following variables: maximum, minimum and average air temperature, air thermal amplitude and vapor pressure deficit. The microclimate was monitored daily during four seasons: early rainy season, late rainy season, early dry season and late dry season, between December 2015 and November 2016. Vegetation coverage was the most important factor to soften maximum and average air temperature in the understories. Lower values of meteorological variables were observed in the mango orchard understory, especially during late rainy season and late dry season, except for minimum air temperature, which was lower in the understory of the degraded area, especially during the late rainy season. The microclimate in the understory differed between both environments, and mango orchards may ameliorate the understory microclimate more efficiently than degraded areas; therefore, the mango orchard can be used as an alternative for the rehabilitation of degraded areas.Keywords: air relative humidity, air temperature, thermal comfort.Microclima em sub-bosque de pomar de mangueiras e de vegetação de área degradada na Amazônia Oriental RESUMOModificações no uso da terra alteram o microclima regional. Este estudo teve como objetivo comparar o microclima em sub-bosque de um pomar de mangueiras e uma área degradada, no município de Salinópolis, nordeste do Estado do Pará, Amazônia Oriental, Brasil. O microclima no sub-bosque do pomar de mangueiras e no sub-bosque da área degradada foi monitorado por meio da temperatura máxima do ar, temperatura mínima do ar, temperatura média do ar, amplitude térmica, e déficit de pressão de vapor de água na atmosfera. O monitoramento do microclima no sub-bosque foi realizado diariamente durante quatro estações distintas, denominadas início da estação chuvosa, estação chuvosa, estação de transição e estação menos chuvosa, no período de dezembro de 2015 a novembro de 2016. A cobertura vegetal foi fator determinante na atenuação das temperaturas máximas e médias do ar no subbosque. Os menores valores das variáveis meteorológicas foram obtidos no sub-bosque do pomar de mangueiras, principalmente, nas estações chuvosa e menos chuvosa, exceto a temperatura mínima do ar que foi menor no sub-bosque da área degradada, sobretudo, no início da estação chuvosa. Os microclimas no sub-bosque diferem entre os dois ambientes, e o pomar de mangueiras pode melhorar o microclima no sub-bosque quando comparado ao sub-bosque da área degradada; portanto, o pomar de mangueiras pode ser utilizado como alternativa para reabilitação de áreas degradadas.Palavras-chave: conforto térmico, temperatura do ar, umidade relativa do ar.

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“…PCA and cluster analyses have been used to determine the extent of phenotypic variability in germplasm collections, namely maize, mungbean, pea, soybean, alfalfa, and AYB, among others (Matus et al, 1999;Akinyosoye et al, 2017;Okunlola et al, 2020). Also, understanding the relationships among important traits is very useful in indirect selection (Kumar et al, 2015;Sesay et al, 2017). Information on AYB mutation breeding and mutant cultivars in Nigeria is scarce.…”

Section: Introductionmentioning

confidence: 99%

Characterization of African Yam Bean (Sphenostylis stenocarpa) Mutant Lines using Phenotypic Markers

Akinyosoye

2022

Yüzüncü Yıl Üniversitesi Tarım Bilimleri Dergisi

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Phenotypic characterization has been recognized as very important for the identification and selection of promising lines in improvement programs. This study aimed at characterizing and selecting early-maturing and high-yielding African yam bean (AYB) mutant lines at M2 generation. The experiment was carried out at the experimental field of the Institute of Agricultural Research and Training, Nigeria. The experimental design used was a randomized complete block design with three replications. Nineteen promising AYB M2 mutant lines were selected with their four parents (making 23 lines) and further evaluated for agronomic characters in the field. The results obtained revealed that coefficients of variation ranged from 3.23% (maturity) to 141.81% (seed yield/plant). The M2 mutant lines flowered and matured earlier than their parents and outyielded their parents by 62.64%. The principal component (PC) showed that the first four PCs accounted for 75.54% of the total variation. The first PC accounted for first flowering, 50% flowering, first podding, and 50% podding. The second PC was responsible for pod yield/plant and seed yield/plant, whereas peduncle length and pod length were associated with the third PC, while the fourth PC was responsible for maturity. The breeding lines were delineated into three heterotic groups with cluster I had three lines; members had the highest pod yield/plant (60.22 g), seed yield/plant (27.33 g), and early-maturing. Cluster II consisted of 17 lines with moderate pod yield/plant, seed yield/plant, and longest pod length. Cluster III contained three mutant lines; exhibited the lowest pod yield/plant, seed yield/plant, and longest peduncle. A highly significant association existed between seed yield/plant and pod yield/plant (r = 0.97**), but negatively correlated with first flowering (r=-0.23*) and 50% first flowering (r=-0.24*). Therefore, AYB lines identified could be utilized by plant breeders/geneticists to develop AYB varieties that are early-maturing and high-yielding in improvement programs.

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The path coefficient analysis of yield components for leaf nutrient concentrations in Mango (Mangifera indica L.) under rainfed agroclimatic conditions of north-west Himalaya

Cited by 11 publications

References 5 publications

Assessing Intraspecific Variability and Diversity in African Yam Bean Landraces Using Agronomic Traits

Assessing Intraspecific Variability and Diversity in African Yam Bean Landraces Using Agronomic Traits

Microclimate in understories of a mango orchard and a degraded area in the Eastern Amazon

Characterization of African Yam Bean (Sphenostylis stenocarpa) Mutant Lines using Phenotypic Markers

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