Arun Kumar
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Research Interests
Arun Kumar has a total of 27 co-authors. Here are the top co-authors by number of shared publications:
- Radha Prasanna
Division of Microbiology, ICAR-Indian Agricultural Research Institute, New Delhi, India
3 shared publications - Venkatesh Kokila
Division of Microbiology, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India
3 shared publications Awani Kumar Singh
Centre for Protected Cultivation Technology (CPCT), ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India
2 shared publicationsBhupinder Singh
Division of Environment Science, ICAR-Indian Agricultural Research Institute (IARI), New Delhi, 110 012, India
2 shared publications- Sekar Nishanth
Division of Microbiology, ICAR-Indian Agricultural Research Institute, New Delhi, 110012, India
2 shared publications - Baudh Bharti
Department of Genetics and Plant Breeding Acharya Narendra Deva University of Agric ulture and Technology -224 229 Kumarganj Ayodhya Uttar Pradesh India
1 shared publication
Latest Publications
- Open Access
- 1 May 2022
- Published by Elsevier in Environmental Technology & Innovation
- Vol. 26
Cyanobacterial inoculation in elevated CO2 environment stimulates soil C enrichment and plant growth of tomato
- 1 May 2022
- Published by Elsevier in Environmental Technology & Innovation
- Vol. 26
Open AccessCyanobacterial inoculation in elevated CO2 environment stimulates soil C enrichment and plant growth of tomato
- 27 October 2021
- Published by Springer Nature in Plant Physiology Reports
- Vol. 26 (4) , 687-698
Impact of elevated CO2 and phosphorus nutrition on mineral composition and cooking quality of rice
- 27 October 2021
- Published by Springer Nature in Plant Physiology Reports
- Vol. 26 (4) , 687-698
Impact of elevated CO2 and phosphorus nutrition on mineral composition and cooking quality of rice
- 1 May 2021
- Published by Oxford University Press (OUP) in Journal of Animal Science
- Vol. 99 (Supplement) , 42-43
63 Effect of a Novel Consensus Bacterial 6-phytase Variant on Mineral Digestibility and Bone Ash in Young Growing Pigs Fed Diets with Low and High Soluble Limestone
The effect of a novel consensus bacterial 6-phytase variant (PhyG) on total tract digestibility (ATTD) of minerals and bone ash was evaluated in piglets fed diets with low and high soluble limestone (LSLM and HSLM, 69 and 92% solubility at 5 min). For each limestone, 8 diets were formulated: an inorganic phosphate-free negative control (NC) diet based on wheat, corn, soybean-meal, canola-meal and rice-barn [0.18% standardized total tract digestible (STTD) P and 0.58% Ca], NC supplemented with 250, 500, 1,000 or 2,000 FTU/kg of PhyG, or with monocalcium phosphate (MCP) to formulate 3 positive controls with 0.21, 0.27, 0.33% STTD P, and 0.64, 0.70 and 0.75% Ca, respectively. In total 128 pigs (12.8 ± 1.33 kg, n=8) were adapted for 14 d followed by 4 d of fecal collection. Femurs were collected on the last day. Data were analyzed as one-way ANOVA and means separated by Tukey test. In addition, a 2 × 4 factorial analysis was performed to test the effect of limestone solubility at different MCP levels in control diets, a 2 × 5 factorial analysis was performed to determine the effect of limestone solubility at different phytase levels. Phytase dose-response was analyzed by orthogonal polynomial. Across phytase diets, HSLM reduced (P < 0.05) ATTD Ca and P compared with LSLM. A consistent negative effect on ATTD P was also observed with HSLM in control diets. Across limestones, increasing phytase increased (P < 0.05) ATTD Ca and P in a linear or exponential manner. Limestone solubility had no impact (P = 0.69) on bone ash. PhyG linearly increased (P < 0.05) bone ash and 250 FTU/kg of PhyG maintained bone ash compared to PC. In conclusion, limestone solubility showed a negative impact on ATTD P and Ca, the novel consensus phytase improved ATTD P and Ca regardless of limestone.
- 1 May 2021
- Published by Oxford University Press (OUP) in Journal of Animal Science
- Vol. 99 (Supplement) , 42-43
63 Effect of a Novel Consensus Bacterial 6-phytase Variant on Mineral Digestibility and Bone Ash in Young Growing Pigs Fed Diets with Low and High Soluble Limestone
The effect of a novel consensus bacterial 6-phytase variant (PhyG) on total tract digestibility (ATTD) of minerals and bone ash was evaluated in piglets fed diets with low and high soluble limestone (LSLM and HSLM, 69 and 92% solubility at 5 min). For each limestone, 8 diets were formulated: an inorganic phosphate-free negative control (NC) diet based on wheat, corn, soybean-meal, canola-meal and rice-barn [0.18% standardized total tract digestible (STTD) P and 0.58% Ca], NC supplemented with 250, 500, 1,000 or 2,000 FTU/kg of PhyG, or with monocalcium phosphate (MCP) to formulate 3 positive controls with 0.21, 0.27, 0.33% STTD P, and 0.64, 0.70 and 0.75% Ca, respectively. In total 128 pigs (12.8 ± 1.33 kg, n=8) were adapted for 14 d followed by 4 d of fecal collection. Femurs were collected on the last day. Data were analyzed as one-way ANOVA and means separated by Tukey test. In addition, a 2 × 4 factorial analysis was performed to test the effect of limestone solubility at different MCP levels in control diets, a 2 × 5 factorial analysis was performed to determine the effect of limestone solubility at different phytase levels. Phytase dose-response was analyzed by orthogonal polynomial. Across phytase diets, HSLM reduced (P < 0.05) ATTD Ca and P compared with LSLM. A consistent negative effect on ATTD P was also observed with HSLM in control diets. Across limestones, increasing phytase increased (P < 0.05) ATTD Ca and P in a linear or exponential manner. Limestone solubility had no impact (P = 0.69) on bone ash. PhyG linearly increased (P < 0.05) bone ash and 250 FTU/kg of PhyG maintained bone ash compared to PC. In conclusion, limestone solubility showed a negative impact on ATTD P and Ca, the novel consensus phytase improved ATTD P and Ca regardless of limestone.
- Open Access
- 1 March 2017
- Published by ANSF Publications in Journal of Applied and Natural Science
- Vol. 9 (1) , 192-195
Genotypic correlation and path coefficient analysis for yield and yield contributing traits in released varieties of barley (Hordeum vulgare L.) under partially reclaimed saline sodic soil
This research sought to determine the correlations between grain yield and its contributing traits and to measure the direct and indirect effects on grain yield in barley. Sixty four released varieties were grown under par-tially reclaimed saline- sodic soil, under irrigated conditions during rabi 2010-11. The grain yield per plant showed highly significant and positive correlation with 1000 grain weight (0.517), plant height (0.460), length of main spike (0.459), fertile tillers per plant (0.385), and grains per main spike (0.366). On the basis of relationship of grain yield with yield contributing traits, we can select the best genotype and can be utilised in breeding program.
- 1 March 2017
- Published by ANSF Publications in Journal of Applied and Natural Science
- Vol. 9 (1) , 192-195
Open AccessGenotypic correlation and path coefficient analysis for yield and yield contributing traits in released varieties of barley (Hordeum vulgare L.) under partially reclaimed saline sodic soil
This research sought to determine the correlations between grain yield and its contributing traits and to measure the direct and indirect effects on grain yield in barley. Sixty four released varieties were grown under par-tially reclaimed saline- sodic soil, under irrigated conditions during rabi 2010-11. The grain yield per plant showed highly significant and positive correlation with 1000 grain weight (0.517), plant height (0.460), length of main spike (0.459), fertile tillers per plant (0.385), and grains per main spike (0.366). On the basis of relationship of grain yield with yield contributing traits, we can select the best genotype and can be utilised in breeding program.