Pigeonpea (Cajanus cajan L. Millsp.): An Ideal Crop for Sustainable Agriculture

Saxena, Rachit K.; Saxena, K B; Varshney, Rajeev K.

doi:10.1007/978-3-030-23400-3_11

Cited by 5 publications

(2 citation statements)

References 40 publications

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“…The experiment was conducted in randomized complete blocks, with three replicates and 20 plants per plot, distributed along two rows with 2.5 m of length, containing five holes each. During the experiment, the plants were irrigated and crop management practices were carried out whenever necessary according to Saxena et al (2019). No fertilizers were applied.…”

Section: Methodsmentioning

confidence: 99%

Heritability estimated by different methods in four generations of progenies from a pigeon pea cross

Costa

Santos

2022

Pesq. agropec. bras.

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The objective of this work was to compare different methods to estimate heritability in 30 pigeon pea families from the F3, F4, F5, and F6 generations, for nine variables. The experimental design was a randomized complete block with three replicates and 20 plants per plot. Broad-sense heritability was estimated by the analysis of variance ( A N O V A) [ h 2b-E(MS)], restricted maximum likelihood/best linear unbiased prediction (REML/BLUP) (h2b-REML), parent-offspring regression (h2PO), and standard deviation unit (h2UP). The h2b-E(MS) and h2b-REML estimates were similar for seven of the analyzed variables. For a higher genetic control and easier selection, values of h2b-E(MS) and h2b-REML >0.70 were estimated for two variables in four generations, two variables in three generations, three variables in two generations, and one variable in one generation. Values of h2UP and h2PO >0.70 were obtained for four and five variables, respectively. The estimates via regression or parent-offspring correlation showed some values outside the expected range of 0 to 1. The ANOVA [h2b-E(MS)] and REML/BLUP [h2b-REML] methods are the best to estimate pigeon pea heritability.

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Section: Methodsmentioning

confidence: 99%

Heritability estimated by different methods in four generations of progenies from a pigeon pea cross

Costa

Santos

2022

Pesq. agropec. bras.

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“…Both municipalities are located in the northeastern semi-arid region.The experiments were set up in plots with two planting rows measuring 2.4 x 2.5 m, betweenrow spacing of 1.2 m, and between-plant spacing of 0.5 m, with two plants per hole and a randomized complete block design with three replications. The plants were irrigated only in the second semester and received crop management practices whenever necessary during the experiment (Saxena et al, 2019). None of the environments received fertilizers.…”

Section: Plant Materials and Evaluation Environmentsmentioning

confidence: 99%

Research Article Adaptability and stability parameters for grain production in pigeonpea lines in the Brazilian semiarid region

Costa¹,

Santos²

2022

Genet. Mol. Res.

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Pigeonpea is a multipurpose species and can be used for grain, forage production, and as a soil improver. In Brazil, the scarcity of productive cultivars adapted to various growing conditions contribute to the underutilization of this legume crop. The genotype × environment (G×E) interaction is one of the main challenges to the development and recommendation of cultivars. Estimates of adaptability and stability parameters make it possible to predict the behavior and effects of the G×E interaction to reduce possible inconsistencies in cultivar recommendation. From this perspective, we assessed the adaptability and stability parameters for grain yield of 21 pigeonpea lines developed in the breeding program of this pulse at Embrapa Semiárido, Petrolina, PE, Brazil, and the variety "guandu Petrolina" (control), in order to recommend new cultivars for general use. The genotypes were evaluated in eight environments, with experiments conducted in five irrigated and three rainfed environments using a randomized complete block design with three replications. Grain yield was corrected by covariance based on the average plant stand. The Eberhart and Russel, AMMI, and GGE Biplot methods were used in this study. The coefficient of variation for the experiments was 12.41%, with data transformed to square root. The effects of genotypes, the environments, and the genotype-byenvironment interaction were highly significant (p < 0.01). The mean ©FUNPEC-RP www.funpecrp.com.br Genetics and Molecular Research 21 (4): gmr19066A.E. da S. Costa et al. 2 grain yield of the genotypes was 1,516 kg ha -1 . Lines 87, 100, and 158 simultaneously showed wide adaptability and good predictability according to the three methods, with mean yields of 1,530, 1,701, and 1,812 kg ha -1 , respectively, and reaching yields of up to 2,725, 2,928, and 2,955 kg ha -1 in some environments. These lines are indicated for recommendation as new pigeonpea cultivars for the semi-arid region of Brazil.

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Genetic Improvement of Pigeonpea (Cajanus cajan (L.) Millsp.) for Insect Resistance: Strategies and Achievements

Ganguly

Chaudhuri²,

Chakraborti

2022

Genetic Methods and Tools for Managing Crop Pests

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Pigeonpea (Cajanus cajan L. Millsp.): An Ideal Crop for Sustainable Agriculture

Cited by 5 publications

References 40 publications

Heritability estimated by different methods in four generations of progenies from a pigeon pea cross

Heritability estimated by different methods in four generations of progenies from a pigeon pea cross

Research Article Adaptability and stability parameters for grain production in pigeonpea lines in the Brazilian semiarid region

Genetic Improvement of Pigeonpea (Cajanus cajan (L.) Millsp.) for Insect Resistance: Strategies and Achievements

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