Planting Density X Mineral Nutrient Interaction Effect on Biomass Production and Partitioning of Arabica Coffee Cultivars

Wubishet Tamirat

doi:doi:10.11648/j.ijsts.20210905.14

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Planting Density X Mineral Nutrient Interaction Effect on Biomass Production and Partitioning of Arabica Coffee Cultivars

Wubishet Tamirat

Published in International Journal of Science, Technology and Society (Volume 9, Issue 5)

Received: 31 August 2021 Accepted: 12 October 2021 Published: 28 October 2021

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Abstract

Biomass partitioning is important process for energy distribution among their leaves, stem and roots. The study was designed to evaluate the effect of population densities and fertilizer rates on biomass production and partitioning of Arabica coffee cultivars under nursery conditions. It was conducted at Jimma Agricultural Research Center from (February 29 to October 29), 2018 season. The treatments were arranged by using completely randomized design and a factorial experiment with three replications. Treatments consisted of combinations of two Arabica coffee cultivars (74110 and 75227), four population densities (one, two, three and four plants per polythene tube) and three compound NPK (22:6:12 + Te) rates (control, 5g and 10g). The results showed that, interaction effect of coffee genotypes, population densities and fertilizer rates was highly significant (P ≤ 0.01) for SFW, TFW and TDW, whereas significant (P ≤ 0.05) for RFW, LFW, ShFW, RDW, SDW, LDW and ShDW. The result revealed that, the maximum values of fresh weight (RFW, SFW, LFW, ShFW and TFW) and dry weight (RDW, SDW, LDW, ShDW and TDW) were obtained from treatment combinations of 74110*PD2*5g of NPK and 75227*PD1*5g of NPK in cultivar-74110 and cultivar-75227, respectively. Similarly, maximum biomass partitioning was observed from leaf dry weight as compared stem and root dry weight which were treated with 5g of NPK for both cultivars. Biomass partitioning optimization is very important to minimize the stress imposed by the limiting resource and more attention should be given on a biotic and biotic factor which affects biomass partitioning under field conditions.

Published in	International Journal of Science, Technology and Society (Volume 9, Issue 5)
DOI	10.11648/j.ijsts.20210905.14
Page(s)	228-233
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Biomass Partitioning, Coffee Cultivars, Nutrients, Planting Densities

References

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[4]	Poorter, H., Niklas, K. J., Reich, P. B., Oleksyn, J., Poot, P. and Mommer, L. 2012. Biomass allocation to leaves, stems and roots: meta-analyses of interspecific variation and environmental control. New Phytologist, 193 (1): 30-50.
[5]	Wubishet Tamirat, Amsalu Gobena and Taye Kufa. 2020. Leaf Traits Variation of Arabica Coffee Cultivars in Response to Population Density and Mineral Nutrient. International Journal of Current Research in Life Sciences, 9 (12), 3359-3363.
[6]	Taye Kufa., 2012. Biomass production and distribution in seedlings of Coffea arabica genotypes under contrasting nursery environments in southwestern Ethiopia. Agricultural Sciences, 3 (6): 835-843.
[7]	Buchanan, S., Isaac, M. E., Van den Meersche, K. and Martin, A. R. 2019. Functional traits of coffee along a shade and fertility gradient in coffee agroforestry systems. Agroforestry Systems, 93 (4): 1261-1273.
[8]	Dossa, E. L., Fernandes, E. C. M., Reid, W. S. and Ezui, K., 2008. Above-and belowground biomass, nutrient and carbon stocks contrasting an open-grown and a shaded coffee plantation. Agroforestry Systems, 72 (2), pp. 103-115.
[9]	Cambui, C. A., Svennerstam, H., Gruffman, L., Nordin, A., Ganeteg, U. and Näsholm, T. 2011. Patterns of plant biomass partitioning depend on nitrogen source. PLoS One, 6 (4), p. e19211.
[10]	Tesfaye Shimber, AlemsegedYilma, Taye Kufa, Endale Taye and AntenehNetsere. 2005. “Coffee seedlings management and production.” Amharic version, Ethiopian Agricultural Research Organization, Addis Ababa, Ethiopia. 17pp.
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[12]	Ericsson, T., 1995. Growth and shoot: root ratio of seedlings in relation to nutrient availability. In Nutrient uptake and cycling in forest ecosystems (pp. 205-214). Springer, Dordrecht.
[13]	Poorter, H. and Remkes, C., 1990. Leaf area ratio and net assimilation rate of 24 wild species differing in relative growth rate. Oecologia, 83 (4), pp. 553-559.
[14]	Minda Tadesse, 2021. Biomass Mass Production and Partitioning in Seedling of Harerghe Coffee Genotypes Under Deficit Irrigation at Jimma, Southwest Ethiopia. American Journal of Life Sciences, 9 (4), pp. 67-72.
[15]	Adugna Debela Bote, Zewdneh Zana, Fikre L., Ocho and Jan Vos. 2018. Analysis of coffee (Coffea arabica L.) performance in relation to radiation level and rate of nitrogen supply II. Uptake and distribution of nitrogen, leaf photosynthesis and first bean yields. European Journal of Agronomy, 92, pp. 107-114.
[16]	Chaves, A. R., Ten-Caten, A., Pinheiro, H. A., Ribeiro, A. and DaMatta, F. M., 2008. Seasonal changes in photoprotective mechanisms of leaves from shaded and unshaded field-grown coffee (Coffea arabica L.) trees. Trees, 22 (3), p. 351.
[17]	Wu, F., Bao, W., Li, F. and Wu, N. 2008. Effects of drought stress and N supply on the growth, biomass partitioning and water-use efficiency of Sophora davidii seedlings. Environmental and experimental botany, 63 (1-3): 248-255.
[18]	Salamanca-Jimenez, A., Doane, T. A. and Horwath, W. R. 2017b. Coffee response to nitrogen and soil water content during the early growth stage. Journal of Plant Nutrition and Soil Science, 180 (5): 614-623.

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APA Style

Wubishet Tamirat. (2021). Planting Density X Mineral Nutrient Interaction Effect on Biomass Production and Partitioning of Arabica Coffee Cultivars. International Journal of Science, Technology and Society, 9(5), 228-233. https://doi.org/10.11648/j.ijsts.20210905.14

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ACS Style

Wubishet Tamirat. Planting Density X Mineral Nutrient Interaction Effect on Biomass Production and Partitioning of Arabica Coffee Cultivars. Int. J. Sci. Technol. Soc. 2021, 9(5), 228-233. doi: 10.11648/j.ijsts.20210905.14

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AMA Style

Wubishet Tamirat. Planting Density X Mineral Nutrient Interaction Effect on Biomass Production and Partitioning of Arabica Coffee Cultivars. Int J Sci Technol Soc. 2021;9(5):228-233. doi: 10.11648/j.ijsts.20210905.14

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@article{10.11648/j.ijsts.20210905.14,
  author = {Wubishet Tamirat},
  title = {Planting Density X Mineral Nutrient Interaction Effect on Biomass Production and Partitioning of Arabica Coffee Cultivars},
  journal = {International Journal of Science, Technology and Society},
  volume = {9},
  number = {5},
  pages = {228-233},
  doi = {10.11648/j.ijsts.20210905.14},
  url = {https://doi.org/10.11648/j.ijsts.20210905.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsts.20210905.14},
  abstract = {Biomass partitioning is important process for energy distribution among their leaves, stem and roots. The study was designed to evaluate the effect of population densities and fertilizer rates on biomass production and partitioning of Arabica coffee cultivars under nursery conditions. It was conducted at Jimma Agricultural Research Center from (February 29 to October 29), 2018 season. The treatments were arranged by using completely randomized design and a factorial experiment with three replications. Treatments consisted of combinations of two Arabica coffee cultivars (74110 and 75227), four population densities (one, two, three and four plants per polythene tube) and three compound NPK (22:6:12 + Te) rates (control, 5g and 10g). The results showed that, interaction effect of coffee genotypes, population densities and fertilizer rates was highly significant (P ≤ 0.01) for SFW, TFW and TDW, whereas significant (P ≤ 0.05) for RFW, LFW, ShFW, RDW, SDW, LDW and ShDW. The result revealed that, the maximum values of fresh weight (RFW, SFW, LFW, ShFW and TFW) and dry weight (RDW, SDW, LDW, ShDW and TDW) were obtained from treatment combinations of 74110*PD2*5g of NPK and 75227*PD1*5g of NPK in cultivar-74110 and cultivar-75227, respectively. Similarly, maximum biomass partitioning was observed from leaf dry weight as compared stem and root dry weight which were treated with 5g of NPK for both cultivars. Biomass partitioning optimization is very important to minimize the stress imposed by the limiting resource and more attention should be given on a biotic and biotic factor which affects biomass partitioning under field conditions.},
 year = {2021}
}

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TY  - JOUR
T1  - Planting Density X Mineral Nutrient Interaction Effect on Biomass Production and Partitioning of Arabica Coffee Cultivars
AU  - Wubishet Tamirat
Y1  - 2021/10/28
PY  - 2021
N1  - https://doi.org/10.11648/j.ijsts.20210905.14
DO  - 10.11648/j.ijsts.20210905.14
T2  - International Journal of Science, Technology and Society
JF  - International Journal of Science, Technology and Society
JO  - International Journal of Science, Technology and Society
SP  - 228
EP  - 233
PB  - Science Publishing Group
SN  - 2330-7420
UR  - https://doi.org/10.11648/j.ijsts.20210905.14
AB  - Biomass partitioning is important process for energy distribution among their leaves, stem and roots. The study was designed to evaluate the effect of population densities and fertilizer rates on biomass production and partitioning of Arabica coffee cultivars under nursery conditions. It was conducted at Jimma Agricultural Research Center from (February 29 to October 29), 2018 season. The treatments were arranged by using completely randomized design and a factorial experiment with three replications. Treatments consisted of combinations of two Arabica coffee cultivars (74110 and 75227), four population densities (one, two, three and four plants per polythene tube) and three compound NPK (22:6:12 + Te) rates (control, 5g and 10g). The results showed that, interaction effect of coffee genotypes, population densities and fertilizer rates was highly significant (P ≤ 0.01) for SFW, TFW and TDW, whereas significant (P ≤ 0.05) for RFW, LFW, ShFW, RDW, SDW, LDW and ShDW. The result revealed that, the maximum values of fresh weight (RFW, SFW, LFW, ShFW and TFW) and dry weight (RDW, SDW, LDW, ShDW and TDW) were obtained from treatment combinations of 74110*PD2*5g of NPK and 75227*PD1*5g of NPK in cultivar-74110 and cultivar-75227, respectively. Similarly, maximum biomass partitioning was observed from leaf dry weight as compared stem and root dry weight which were treated with 5g of NPK for both cultivars. Biomass partitioning optimization is very important to minimize the stress imposed by the limiting resource and more attention should be given on a biotic and biotic factor which affects biomass partitioning under field conditions.
VL  - 9
IS  - 5
ER  -

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Author Information

Wubishet Tamirat

Ethiopian Institute of Agricultural Research, Jimma Agricultural Research Center, Jimma, Ethiopia

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APA Style

Wubishet Tamirat. (2021). Planting Density X Mineral Nutrient Interaction Effect on Biomass Production and Partitioning of Arabica Coffee Cultivars. International Journal of Science, Technology and Society, 9(5), 228-233. https://doi.org/10.11648/j.ijsts.20210905.14

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ACS Style

Wubishet Tamirat. Planting Density X Mineral Nutrient Interaction Effect on Biomass Production and Partitioning of Arabica Coffee Cultivars. Int. J. Sci. Technol. Soc. 2021, 9(5), 228-233. doi: 10.11648/j.ijsts.20210905.14

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AMA Style

Wubishet Tamirat. Planting Density X Mineral Nutrient Interaction Effect on Biomass Production and Partitioning of Arabica Coffee Cultivars. Int J Sci Technol Soc. 2021;9(5):228-233. doi: 10.11648/j.ijsts.20210905.14

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@article{10.11648/j.ijsts.20210905.14,
  author = {Wubishet Tamirat},
  title = {Planting Density X Mineral Nutrient Interaction Effect on Biomass Production and Partitioning of Arabica Coffee Cultivars},
  journal = {International Journal of Science, Technology and Society},
  volume = {9},
  number = {5},
  pages = {228-233},
  doi = {10.11648/j.ijsts.20210905.14},
  url = {https://doi.org/10.11648/j.ijsts.20210905.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsts.20210905.14},
  abstract = {Biomass partitioning is important process for energy distribution among their leaves, stem and roots. The study was designed to evaluate the effect of population densities and fertilizer rates on biomass production and partitioning of Arabica coffee cultivars under nursery conditions. It was conducted at Jimma Agricultural Research Center from (February 29 to October 29), 2018 season. The treatments were arranged by using completely randomized design and a factorial experiment with three replications. Treatments consisted of combinations of two Arabica coffee cultivars (74110 and 75227), four population densities (one, two, three and four plants per polythene tube) and three compound NPK (22:6:12 + Te) rates (control, 5g and 10g). The results showed that, interaction effect of coffee genotypes, population densities and fertilizer rates was highly significant (P ≤ 0.01) for SFW, TFW and TDW, whereas significant (P ≤ 0.05) for RFW, LFW, ShFW, RDW, SDW, LDW and ShDW. The result revealed that, the maximum values of fresh weight (RFW, SFW, LFW, ShFW and TFW) and dry weight (RDW, SDW, LDW, ShDW and TDW) were obtained from treatment combinations of 74110*PD2*5g of NPK and 75227*PD1*5g of NPK in cultivar-74110 and cultivar-75227, respectively. Similarly, maximum biomass partitioning was observed from leaf dry weight as compared stem and root dry weight which were treated with 5g of NPK for both cultivars. Biomass partitioning optimization is very important to minimize the stress imposed by the limiting resource and more attention should be given on a biotic and biotic factor which affects biomass partitioning under field conditions.},
 year = {2021}
}

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TY  - JOUR
T1  - Planting Density X Mineral Nutrient Interaction Effect on Biomass Production and Partitioning of Arabica Coffee Cultivars
AU  - Wubishet Tamirat
Y1  - 2021/10/28
PY  - 2021
N1  - https://doi.org/10.11648/j.ijsts.20210905.14
DO  - 10.11648/j.ijsts.20210905.14
T2  - International Journal of Science, Technology and Society
JF  - International Journal of Science, Technology and Society
JO  - International Journal of Science, Technology and Society
SP  - 228
EP  - 233
PB  - Science Publishing Group
SN  - 2330-7420
UR  - https://doi.org/10.11648/j.ijsts.20210905.14
AB  - Biomass partitioning is important process for energy distribution among their leaves, stem and roots. The study was designed to evaluate the effect of population densities and fertilizer rates on biomass production and partitioning of Arabica coffee cultivars under nursery conditions. It was conducted at Jimma Agricultural Research Center from (February 29 to October 29), 2018 season. The treatments were arranged by using completely randomized design and a factorial experiment with three replications. Treatments consisted of combinations of two Arabica coffee cultivars (74110 and 75227), four population densities (one, two, three and four plants per polythene tube) and three compound NPK (22:6:12 + Te) rates (control, 5g and 10g). The results showed that, interaction effect of coffee genotypes, population densities and fertilizer rates was highly significant (P ≤ 0.01) for SFW, TFW and TDW, whereas significant (P ≤ 0.05) for RFW, LFW, ShFW, RDW, SDW, LDW and ShDW. The result revealed that, the maximum values of fresh weight (RFW, SFW, LFW, ShFW and TFW) and dry weight (RDW, SDW, LDW, ShDW and TDW) were obtained from treatment combinations of 74110*PD2*5g of NPK and 75227*PD1*5g of NPK in cultivar-74110 and cultivar-75227, respectively. Similarly, maximum biomass partitioning was observed from leaf dry weight as compared stem and root dry weight which were treated with 5g of NPK for both cultivars. Biomass partitioning optimization is very important to minimize the stress imposed by the limiting resource and more attention should be given on a biotic and biotic factor which affects biomass partitioning under field conditions.
VL  - 9
IS  - 5
ER  -

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