Temporal optimisation of sowing windows for enhancing off-seasonsoybean (Glycine max) seed yield

RAGHAVENDRA K; UMESH  HIREMATH; PRIYANKA M; SHANKUNTALA; GYANDEV  B; ANANDA  N; AISHWARYA  V

doi:10.56093/ijas.v96i8.178063

Authors

RAGHAVENDRA K University of Agricultural Sciences, Raichur, Karnataka 584 104, India
UMESH HIREMATH University of Agricultural Sciences, Raichur, Karnataka 584 104, India
PRIYANKA M ICAR-Indian Agricultural Research Institute, New Delhi 110 012, India
SHANKUNTALA University of Agricultural Sciences, Raichur, Karnataka 584 104, India
GYANDEV B Krishi Vigyan Kendra (University of Agricultural Sciences, Raichur, Karnataka), Raddewadagi, Karnataka, India
ANANDA N AICRP on Linseed, Main Agricultural Research Station, University of Agricultural Sciences, Raichur, Karnataka, India
AISHWARYA V College of Forestry (University of Agricultural Sciences, Dharwad, Karnataka), Sirsi, Karnataka, India

https://doi.org/10.56093/ijas.v96i8.178063

Keywords:

Erratic rainfall, Phenological parameters, Seed production, Sowing time

Abstract

The seed production and quality of soybean (Glycine max L.) gets affected due to erratic rainfalls during the season, leading to exploration in off-season cultivation to meet out the demand. Therefore, the experiment was conducted to identify the optimal sowing window for off-season seed production of soybean during the years 2022–23 and 2023–24 in the North Eastern Dry Zone of Karnataka. The experiment was laid out in a split-plot design with three replications, comprising two varieties (JS 335 and DSB 21) and six sowing dates. Results revealed that sowing during the first fortnight of November (D1) consistently recorded superior performance in both the years and pooled analysis. This treatment significantly improved key phenological parameters, including longer duration from planting to one open flower at any node on the main stem, extending reproductive phase (R1: Beginning bloom to R8: Full maturity), and higher days to 50% flowering in both varieties. The favourable growth period under D1 contributed to better crop development and efficient resource utilisation. Consequently, the highest seed yield/plot was also recorded under this sowing window, with JS 335 outperforming DSB 21. Therefore, it can be concluded that sowing soybean during the first fortnight of November may be the most suitable window for off-season seed production in the North Eastern Dry Zone of Karnataka, ensuring better growth and higher seed yield.

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References

Biswas S, Lay L L, Rupa Das, Manimala Mahato and Dhananjoy Dutta. 2024. Productivity of soybean (Glycine max) varieties under different levels of integrated nutrient management. The Indian Journal of Agricultural Sciences 94(7): 713–18. https://doi.org/10.56093/ijas.v94i7.120900 DOI: https://doi.org/10.56093/ijas.v94i7.120900

Chen G and Wiatrak P. 2010. Soybean development and yield are influenced by planting date and environmental conditions in the southeastern coastal plain, United States. Agronomy Journal 102(6): 1731. https://doi.org/10.2134/AGRONJ2010.0219 DOI: https://doi.org/10.2134/agronj2010.0219

Divito G A, Echeverria H, Andrade F H and Sadras V O. 2016. Soybean shows an attenuated nitrogen dilution curve irrespective of maturity group and sowing date. Field Crop Research 186: 1–9. https://doi.org/10.1016/j.fcr.2015.11.004 DOI: https://doi.org/10.1016/j.fcr.2015.11.004

Etsushi K and Tomoki T. 2020. Soybean [Glycine max (L.) Merr.] yield reduction due to late sowing as a function of radiation interception and use in a cool region of northern Japan. Agronomy 10(1): 1–14. https://doi.org/10.3390/ agronomy10010066 DOI: https://doi.org/10.3390/agronomy10010066

Fisher R A and Mackenzie W A. 1923. Studies in crop variation. II. The manurial response of different potato varieties. The Journal of Agricultural Sciences 13(3): 311–20. https://ui.adsabs. harvard.edu/link_gateway/1923JAS. 13..311F/doi:10.1017/S0021859600003592 DOI: https://doi.org/10.1017/S0021859600003592

Franklin K A, Lee S H, Patel D, Kumar S V, Spartz A K, Gu C, Ye S, Yu P, Breen G, Cohen J D, Wigge P A and Gray W M. 2011. Phytochrome-interacting factor 4 (PIF4) regulates auxin biosynthesis at high temperature. Proceedings of National Academy of Sciences of the USA 108(50): 20231–35. https://doi.org/10.1073/pnas.1110682108 DOI: https://doi.org/10.1073/pnas.1110682108

Goraya G K, Kaur B, Asthir B, Bala S, Kaur G and Farooq M. 2017. Rapid injuries of high temperature in plants. Journal of Plant Biology 60: 298–305. DOI: 10.1007/s12374-016-0365-0 DOI: https://doi.org/10.1007/s12374-016-0365-0

Gowda C L L, Ramakrishna A, Rupela O P and Wani S P (Eds). 2001. Legumes in Rice-based Cropping Systems in Tropical Asia: Constraints and Opportunities. ICRISAT publication. Andhra Pradesh. 142p.

Gurav M D, Dhadge S M, Pawar R A and Mehetre S G. 2022. Effect of planting methods and nutrient management on economics of kharif soybean (Glycine max L. Merrill). The Pharma Innovation Journal 11(1): 585–88.

Hu H and Wiatrak P. 2012. Effect of planting date on soybean growth, yield, and grain quality: Review. Agronomy Journal 104(3): 785. https://doi.org/10.2134/agronj2011.0382 DOI: https://doi.org/10.2134/agronj2011.0382

Islami T and Sugito Y. 2012. The effect of planting date and harvesting time on the yield and seed quality of rainy season soybean [Glycine max (L.) Merr.]. Journal of Agriculture and Food Technology 2(4): 73–78.

Kumudini S V, Pallikonda P K and Steele C. 2007. Photoperiod and genes influence the duration of the reproductive phase in soybean. Crop Science 47: 1510–17. https://doi.org/10.2135/cropsci2006.10.0662 DOI: https://doi.org/10.2135/cropsci2006.10.0662

Li S, Yang Y, Zhang Q, Liu N, Xu Q and Hu L. 2018. Differential physiological and metabolic response to low temperature in two zoysiagrass genotypes native to high and low latitude. PloS One 14(2): 198–223. https://doi.org/10.1371/journal.pone.0198885 DOI: https://doi.org/10.1371/journal.pone.0198885

Lippmann R, Steve B, Anja M, Carolin D and Marcel Q. 2019. Development of wild and cultivated plants under global warming conditions. Current Biology 29: 1326–38. https://doi.org/10.1016/j.cub.2019.10.016 DOI: https://doi.org/10.1016/j.cub.2019.10.016

Malik M F A, Ashraf M, Qureshi A S and Ghafoor A. 2007. Assessment of genetic variability, correlation and path analyses for yield and its components in soybean. Pakistan Journal of Botany 39: 405–11.

Mourtzinis S, James E S and Shawn P C. 2019. Defining optimal soybean sowing dates across the US. Scientific Reports 9(1): 2800–09. https://doi.org/10.1038/s41598-019-38971-3 DOI: https://doi.org/10.1038/s41598-019-38971-3

Neenu S, Ramesh K, Ramana S and Jayaram S. 2017. Dry matter partitioning and yield of different varieties of soybean [Glycine max (L.) Merrill] under aberrant climatic conditions in central India. International Journal of Plant and Soil 14(6): 1–9. https://doi.org/10.9734/IJPSS/2017/31404 DOI: https://doi.org/10.9734/IJPSS/2017/31404

Oad F C, Gandahi A W, Soomro N M, Samo M A and Oad N L. 2002. Response of soybean Glycine max (L.) Merril to planting time. Journal of Applied Science 2(1): 107–08. DOI: https://doi.org/10.3923/jas.2002.107.108

Osagie B E, Alpha Y, Kamara S M, Lucky O O, Reuben S, Musibau A A, Abdullahi I T and Jenneh F B. 2024. The impact of planting dates on the performance of soybean varieties [Glycine max (L.) Merr.] in the Nigerian Savannas. Agronomy 14(10): 2198. https://doi.org/10.3390/agronomy14102198 DOI: https://doi.org/10.3390/agronomy14102198

Panse V G and Sukhatme P V. 1967. Statistical Methods for Agricultural Workers. ICAR, New Delhi.

Sanggonda, Eshanna M R and Priyanka M. 2019. Effect of dates of sowing and fertiliser on growth and seed yield of sunnhemp genotypes. International Journal of Current Microbiology and Applied Sciences 8(11): 2216–22. https://doi.org/10.20546/ijcmas.2019.811.258 DOI: https://doi.org/10.20546/ijcmas.2019.811.258

Singh A, Rao V U M, Singh Diwan and Singh Rat. 2007. Study on agrometeorological indices for soybean crop under different growing environment. Journal of Agrometeorology 9(1): 81–85. https://doi.org/10.54386/jam.v9i1.1096 DOI: https://doi.org/10.54386/jam.v9i1.1096

Sun J, Qi L, Li Y, Chu J and Li C. 2012. PIF4-mediated activation of YUCCA8 expression integrates temperature into the auxin pathway in regulating Arabidopsis hypocotyl growth. PLoS Genetics 8(3): 254–67. https://doi.org/10.1371/journal. pgen.1002594 DOI: https://doi.org/10.1371/journal.pgen.1002594

Xin Z, Chen J, Wang L and Liu Q. 2008. Standard procedures for measurement of crop growth, phenology, and yield parameters in field experiments. Field Crops Research 107(2): 123–30.