Effect of B, CO and MO on nodulation, growth and yield of cowpea (&lt;em&gt;Vigna unguiculata&lt;/em&gt;)

Mehera²,

et al. 2023

IJECC

During the summer season of 2022, a field experimental trail on groundnut was performed at Crop Research Farm (CRF), Department of Agronomy, SHUATS, Prayagraj (U.P.) to evaluate the impact of micronutrients on the growth and yield of groundnut (Arachis hypogea L.) varieties. The experimental plot's soil was sandy loam in texture, virtually neutral in soil reaction (pH 7.7), low in organic carbon (0.44%), available N (171.48 kg/ha), available P (27.00 kg/ha), and available K (291.20 kg/ha). The experiment was designed in the Randomized Block Design (RBD) method, with nine treatments repeated three times. According to this trial, the treatments are zinc (0.5%), boron (0.2%), zinc+ boron (0.5%+0.2%) as foliar spray, and varieties. (Kadiri 6, Kadiri 9, Kadiri Amaravati). The treatment combinations are, T1-0.5% Zinc (foliar) + Kadiri 6, T2- 0.5% Zinc (foliar) + Kadiri 9, T3- 0.5% Zinc (foliar) + Kadiri Amaravati, T4- 0.2% Boron (foliar) + Kadiri 6, T5- 0.2% Boron (foliar) + Kadiri 9, T6- 0.2% Boron (foliar) + Kadiri Amaravati, T7- (0.5% + 0.2%) Zn+ B (foliar) + Kadiri 6, T8- (0.5% + 0.2%) Zn+ B (foliar) + Kadiri 9, T9- (0.5% + 0.2%) Zn+ B (foliar) + Kadiri Amaravati. (0.5% + 0.2%) Zn + B (foliar) application with variety Kadiri 6 resulted in greater Plant height (26.60cm), Nodules/plant (49.14), and Plant dry weight (6.56 g/plant). Maximum number of pods per plant (27.87), kernels per pod (2.66), seed index (40.13 g), seed yield (2.48 t/ha), haulm yield (5.67 t/ha), and harvest index (30.44%). Thus, using (0.5% + 0.2%) Zn + B (foliar) in conjunction with the variety Kadiri 6 could be a promising choice for increasing groundnut yield.

Section: Plant Dry Weight (G)supporting

confidence: 94%

Effect of Micronutrients on Growth and Yield of Groundnut (Arachis hypogaea L.) Varieties

Mehera²,

et al. 2023

IJECC

“…Studies in the literature have reported that the application of essential nutrients (N, Fe and Mo) at the optimum level positively influences the metabolic processes and thus leads to a higher yield of cowpea. The application of Mo along with micronutrients and Rhizobium inoculation has also recorded enhanced cowpea growth and nodulation [ 34 ]. Another study reported that the seed treatment with Mo solution can overcome the internal Mo deficiencies and thus maintain the activity of molybdoenzymes [ 35 ].…”

Section: Discussionmentioning

confidence: 99%

Interactive Effects of Molybdenum, Zinc and Iron on the Grain Yield, Quality, and Nodulation of Cowpea (Vignaunguiculata (L.) Walp.) in North-Western India

et al. 2022

Micronutrient deficiency is a major constraint for the growth, yield and nutritional quality of cowpea which results in nutritional disorders in humans. Micronutrients including molybdenum (Mo), iron (Fe) and zinc (Zn) play a pivotal role in crop nutrition, and their role in different metabolic processes in crops has been highlighted. In order to increase the nutritional quality of cowpea, a field experiment was conducted for two years in which the effect of Mo along with iron (Fe) and zinc (Zn) on productivity, nitrogen and micronutrient uptake, root length and the number of nodules in cowpea cultivation was investigated. It was found that the foliar application of Fe and Zn and their interaction with Mo application through seed priming as well as soil application displayed increased yield, nutrient concentration, uptake and growth parameters which helped to enhance the nutritional quality of cowpea for consumption by the human population. The results of the above experiments revealed that among all the treatments, the soil application of Mo combined with the foliar application of 0.5% each of FeSO4.7H2O and ZnSO4.7H2O (M2F3 treatment) enhanced the grain and stover yield of cowpea, exhibiting maximum values of 1402 and 6104.7 kg ha−1, respectively. Again, the M2F3 treatment resulted in higher Zn, Fe and Mo concentrations in the grain (17.07, 109.3 and 30.26 mg kg−1, respectively) and stover (17.99, 132.7 and 31.22 mg kg−1, respectively) of cowpea. Uptake of Zn, Fe and Mo by the grain (25.23, 153.3 and 42.46 g ha-1, respectively) as well as the stover (104.2, 809.9 and 190.6 g ha−1, respectively) was found to be maximum for the M2F3 treatment. The root length (30.5 cm), number of nodules per plant (73.0) and N uptake in grain and stover (55.39 and 46.15 kg ha−1) were also higher for this treatment. Overall, soil application of Mo along with the foliar application of FeSO4.7H2O (0.5%) and ZnSO4.7H2O (0.5%) significantly improved yield outcomes, concentration, uptake, root length, nodules plant−1 and N uptake of cowpea to alleviate the micronutrient deficiency.

“…Boron being a required trace element, there is a narrow gap between deficiency and toxicity in soil–plant systems ( Chatterjee & Bandyopandhyay, 2017 ). Therefore, one spray at the initiation of the reproductive phase is sufficient for optimum flowering and pod yield ( Subasinghe et al ., 2003 ); without initial boron spray, plant uptake will deplete boron in the soil, hence the factor loading in PC7 being negative for boron.…”

Section: Resultsmentioning

confidence: 99%

Variability in soil properties influencing pigeonpea (Cajanus cajana L.) yield: a multivariate statistical analysis

N L,

et al. 2023

F1000Res

Aims: The aim of the study was to reveal the variability in soil properties influencing pigeonpea (Cajanus cajana L.) seed yield under semi-arid rainfed condition. Methods: Soils were initially classified into series level and further these series were divided into soil-phase units. For two site years viz., 2018-19 and 2019-20, surface soil samples from each soil-phase unit were collected before sowing of pigeonpea and subsequently crop growth parameters at critical stages were recorded. Results: The principal component analysis with varimax rotation resulted in seven components for both the site years, having eigenvalues greater than one, explained more than 80% of the variability. The step wise linear regression analysis showed that the pigeonpea seed yield was linearly correlated with PC3 (p<0.01), PC4 (p<0.01) and PC7 (p<0.05) of soil properties with R2 = 0.679, during 2018-19. Whereas, during 2019-20, the seed yield was linearly correlated with PC1 (p<0.01), PC3 (p<0.01) and PC6 (p<0.05) with R2 = 0.677. In site year 1, the available P2O5, Fe, Zn, S, Cu, number of pods, surface soil moisture determined the yield. In site year 2, the available K2O, P2O5, Fe, Zn, S, clay, CEC and available water content determined the yield. All these variables together explain variability in yield.