Planting Density Affected Dry Matter Production, Partitioning, and Yield in Machine Harvestable Chickpea Genotypes in the Irrigated Ecosystem

Patil, S. J.; Mansur, C. P.; Gaur, Pooran M.; Salakinkop, S. R.; Alagundagi, S. C.

doi:10.1007/s42106-020-00125-1

Cited by 6 publications

(7 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Such variations among the genotypes might be due to the genetic constitution of different genotypes, which provides the inherent capacity to perform in different ways. This result is in support of Patil et al [22] in chickpea.…”

Section: Resultssupporting

confidence: 92%

Effect of Different Sowing Windows on Dry Matter Accumulation of Pigeonpea Genotypes

Usha,

Patil,

Nandagavi

2024

IJECC

View full text Add to dashboard Cite

A field experiment was conducted to study the “Effect of different sowing windows on dry matter accumulation of pigeonpea genotypes” at Regional Agricultural Research Station, Vijayapura, during Kharif 2021. The experiment was laid out in a split-plot design assigning four sowing windows to main plots viz., first fortnight of June (23-24th SMW), second fortnight of June (25-26th SMW), first fortnight of July (27-28th SMW) and second fortnight of July (29-30th SMW), whereas genotypes to subplot viz.,TS-3R, GRG-152 and GRG-811 and replicated thrice. The results revealed that sowing in first fortnight of June accumulated more dry matter in leaves (18.47 g plant-1), stem (131.22 g plant-1) and reproductive parts (68.16 g plant-1). Among the genotype GRG-152 accumulated higher dry matter in leaves (17.34 g plant-1) and stem (123.01 g plant-1). However, dry matter accumulation in reproductive parts is higher in TS-3R (63.68 g plant-1). Similarly TDMP was higher in first fortnight of June sowing (217.85 g plant-1) than delayed sowing in second fortnight of July. TS-3R accumulated higher TDMP in the beginning growth stage when compared to GRG-152 and GRG-811. However, TDMP was higher in GRG-152 at later stage. This study revealed that pigeonpea sown in first fortnight of June recorded higher dry matter production and it’s partitioning in leaf, stem and reproductive parts and among the genotype TS-3R recorded significantly higher dry matter in pods due to more photosynthetic activity of the genotype which results in higher yield of the crop.

show abstract

Section: Resultssupporting

confidence: 92%

Effect of Different Sowing Windows on Dry Matter Accumulation of Pigeonpea Genotypes

Usha,

Patil,

Nandagavi

2024

IJECC

View full text Add to dashboard Cite

show abstract

“…This might be attributed to optimum number of plants per unit area at the seed rate of 105 kg ha -1 which helped in better utilization of resources, hence more photosynthesis and assimilate translocation from source (leaf) to sink (seed). Patil et al (2021) also reported significantly higher seed and haulm yield with higher seed rate in machine planted chickpea.…”

Section: Yieldmentioning

confidence: 88%

Nodulation, Yield and Economics of Machine Planted Chickpea (Cicer arietinum L.) under Varied Spacing and Nutrient Management

Karthika,

Rekha,

Sudhakar

et al. 2023

View full text Add to dashboard Cite

Background: Among the agronomic practices, optimum plant population and balanced nutrient management are pivotal for enhanced pulse production besides ensuring soil health. Methods: Present study was conducted during rabi 2020-21 and 2021-22 in split plot design with four main plots viz; seed rate (52, 70, 77 and 105 kg ha-1) and seven sub-plot nutrient management practices viz., N1- absolute control , N2- 75% RDF, N3- 100% RDF (20:50:20 kg N, P2O5 and K2O ha-1), N4 -125 % RDF, S5- 75% RDF + soil application of microbial consortia (Azotobacter + Phosphorus solubilizing bacteria (PSB) + Potassium releasing bacteria (KRB)+ Zinc solubilizing bacteria (ZnSB) @ 5 kg ha-1), N6- 100 % RDF + MC and N7- 125% RDF + MC. Result: Higher nodulation, seed yield (25.8 q ha-1) and economics (net returns ₹ 88807 ha-1 and B-C ratio 2.92) were registered with seed rate of 105 kg ha-1. However, protein content of chickpea was better with seed rate of 52 kg ha-1. Among the nutrient management treatments, crop growth, nodulation, seed yield (25.8 q ha-1) and economics (net returns ₹ 84388 ha-1 and B-C ratio 2.90) were found to be better with application of 125% RDF + Microbial consortia. Significant and positive correlation was found between the parameters at p less than 0.01.

show abstract

“…Studies have shown that agronomic interventions like ZT sowing and residue retention can also alter yield potential with appropriate varieties (Singh et al 2017). A cultivar's branching pattern (high or low) and branching angle may also have a direct effect on its yield potential under rice fallows (Patil et al 2020). Chickpea genotypes have wider variability for traits like height, branching and plant vigour and thus there would have a differential yield variability and potential productivity (Singh et al 2017).…”

Section: Discussionmentioning

confidence: 99%

Yield Trait and Stability of Chickpea Genotypes for Intensification of Drought‐Prone Rice Fallows of South Asia

Nath,

Jha,

Kumar

et al. 2024

J Agronomy Crop Science

View full text Add to dashboard Cite

There is a need for increasing cropping intensity in South Asia including India to ensure food security of burgeoning population. Accordingly, increasing cropping intensity in rainfed rice fallows can be a futuristic strategy. Identification of suitable cultivar and exploration of genetic variability of specific crops/traits are imperative for genetic improvement, drought resistance and yield gain in rice fallows. We evaluated the morphophysiological, yield traits and stability of 15 chickpea genotypes in randomised complete block design for three consecutive years on a drought‐prone rainfed condition of Fluvisol in Kanpur, India. Among genotypes, ‘IPC 2014‐55’, ‘IPC 2015‐44’ and ‘IPC 2011‐92’ had 2%–10% higher relative water content (RWC) over ‘ICC‐92944’ (check cultivar). These genotypes did not differ for total chlorophyll content, root dry weight and nodule dry weight with ‘ICC‐92944’ and ‘KWR 108’ (wider adaptable cultivar of the region). The nitrogen balance index was higher in ‘IPC 2011‐92’, ‘IPC 2014‐88’ and ‘IPC 2014‐55’ by 5%–44% over check cultivar (p < 0.05). The membrane stability index was higher for ‘IPC 2014‐55’ (30%, p < 0.05) and ‘IPC 2011‐92’ (17%, p < 0.05) than ‘ICC‐92944’. ‘IPC 2011‐92’, ‘IPC 2014‐88’ and ‘IPC 2014‐55’ (3 years mean) had 3%–24% higher plant dry weight than ‘ICC‐92944’. Notably, ‘IPC 2014‐55’, ‘IPC 2015‐44’, ‘IPC 2014‐88’ and ‘IPC 2011‐92’ had higher yield attributes such as pods plant−1 by 9%, grain weight plant−1 by 13% and 100‐seed weight by 3% than ‘ICC‐92944’ and ‘KWR 108’ (mean of years). These genotypes had higher mean seed yield than ‘ICC‐92944’ by 23%–42% and ‘KWR 108’ by 7%–23% (p < 0.05). The yield of ‘IPC 2014‐55’, ‘IPC 2015‐44’, ‘IPC 2014‐88’ and ‘IPC 2011‐92’ were stable over years across variable soil and environmental condition as indicated by the genotype × year biplot. Membrane stability index, pods plant−1 and 100‐seed weight were the determinants for increased seed yield of chickpea under drought‐prone condition. Evidently, genotype ‘IPC 2014‐55’, ‘IPC 2015‐44’, ‘IPC 2014‐88’ and ‘IPC 2011‐92’ were better under rainfed rice fallows. These genotypes could be tested under specific drought condition for developing varieties and promoted in rice fallows of South Asia for yield advantage and drought resistance.

show abstract

Planting Density Affected Dry Matter Production, Partitioning, and Yield in Machine Harvestable Chickpea Genotypes in the Irrigated Ecosystem

Cited by 6 publications

References 9 publications

Effect of Different Sowing Windows on Dry Matter Accumulation of Pigeonpea Genotypes

Effect of Different Sowing Windows on Dry Matter Accumulation of Pigeonpea Genotypes

Nodulation, Yield and Economics of Machine Planted Chickpea (Cicer arietinum L.) under Varied Spacing and Nutrient Management

Yield Trait and Stability of Chickpea Genotypes for Intensification of Drought‐Prone Rice Fallows of South Asia

Contact Info

Product

Resources

About