Yield Traits and Water Productivity Responses among Rice Varieties (Oryza sativa L.) Grown in A Fadama Ecosystem in Akure, Southwestern Nigeria

Aderibigbe, A. T. B.; Oladitan, T. O.

doi:10.9734/ajea/2015/6197

Cited by 2 publications

(2 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Differences in plant growth were found by Agele et al (2015), in two monthly consecutive sowing dates, significant for most of the traits measured (root and shoot weight, leaf area, plant height, number of tillers, weights of panicle and 100-seed and harvest index). Differences in shoot biomass and seed yield production among sowing dates were explained by a combination of weather parameters, where seed yield was negatively and highly associated with evaporative demand, thermal time and minimum temperatures.…”

Section: Discussionmentioning

confidence: 94%

Relationship between growth traits and yield formation in Indica-type rice crop

López¹

2019

Agron. Mesoam.

View full text Add to dashboard Cite

Introduction. Climatic variation is one of the causes for the decrease in yield and its variability in Indica-type rice (Oryza sativa L.). This evidences the necessity of the study of the interaction of meteorological variables with the behavior of rice cultivars, to establish the base of management of the harvest and increase of the yield. Objective. The objective of the present study was to relate the yield of rice with variables of plant growth. Materials and methods. Four rice cultivars were planted in the “dry” season of December 2004, February 2005 and January 2006, and in the rainy season of March 2006, April 2008 and 2009, in Los Palacios, Pinar del Río province, Cuba. The yield and its components, the dynamics of plant growth (LAI and dry matter), the variation of the dry matter of the internodes, peduncle, flag leaf, leaf and leaf sheath during the grain filling phase were evaluated the panicle growth in addition to the meteorological data. A multivariate analysis was used to relate the performance to the characteristics of the plants evaluated. Results. The yield was higher in the “dry” season and to obtain higher yields, the growth dynamics of the plant and the variation of the dry matter of the third internode during the grain filling were important. In both seasons, different source-sink relationships were established and these situations depended mainly on the temperature regime at which the plants were subjected. Conclusion. Breeders, in order to increase potencial yields, may fows their atttention in grow traits during vegetative stages.

show abstract

Section: Discussionmentioning

confidence: 94%

Relationship between growth traits and yield formation in Indica-type rice crop

López¹

2019

Agron. Mesoam.

View full text Add to dashboard Cite

show abstract

“…By continuously monitoring and adjusting irrigation and fertilization parameters, farmers can maximize yields while conserving water and minimizing environmental impacts. Furthermore, the IoT technology allows for remote monitoring and control, enabling farmers to make informed decisions and respond promptly to changing environmental conditions [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Optimizing Growth and Yield in Aerobic Rice through IoT-based Drip Irrigation and Fertigation

Akshay,

Kumar,

Sree

et al. 2024

Int. J. Plant Soil Sci.

View full text Add to dashboard Cite

Aim: A field experiment was conducted to study the effect of different IoT based drip irrigation and fertigation management practices on growth and yield of aerobic rice. Study Design: The experiment was laid out in a strip plot design with 4 main plots (Horizontal) and 3 sub-plots (Vertical) that are allocated randomly and replicated thrice. Place and Duration of Study: kharif and rabi seasons of 2022-23 & 2023-24 at ICAR-Indian Institute of Rice Research, Hyderabad. Methodology: The horizontal plot treatments were Nitrogen management practices (4) i.e., Control (N1), 100 % RDN (100% inorganic) (N2), 100 % RDN (50% inorganic & 50% organic) (N3) and 125 % RDN (100 % inorganic) (N4). Vertical plots treatments were Irrigation management practices (3) which include Saturation (I1), 10 % DASM (I2) and 20 % DASM (I3). Organic nutrient sources were given as soil application and the inorganic sources were applied through fertigation. Sensor based (IoT) irrigation scheduling was done. Results: Nitrogen application of 125% RDN with 100% inorganic consistently resulted in higher growth parameters (plant height (110.4 cm and 93.9 cm), number of tillers m-2 (392.2 and 291.8) and plant dry weight (11814.8 kg ha-1 and 9557.0 kg ha-1) during kharif & rabi respectively) followed by 100% RDN (100% inorganic) and 100% RDN (50% inorganic & 50% organic) in pooled data. Saturation irrigation resulted in taller plants with greater growth parameters (plant height (109.8 cm and 91.0 cm), number of tillers m-2 (412.3 and 283.6) and plant dry weight (10916.0 kg ha-1 and 9463.4 kg ha-1) during kharif & rabi respectively) compared to deficit irrigation treatments. Treatment of 125% RDN with 100% inorganic resulted in the higher yield attributes (no. of panicles m-2 (154.3 and 141.1), no. of filled grains panicle-1 (142.3 and 124.0), panicle weight (3.1 g and 3.3 g) during kharif & rabi respectively) and yield (4790.2 kg ha-1 and 4583.8 kg ha-1) which was statistically similar with 100% RDN (100% inorganic) and 100% RDN (50% inorganic & 50% organic). Saturation expressed higher yield attributes (no. of panicles m-2 (149.5 and 139.2), no. of filled grains panicle-1 (135.0 and 121.6), panicle weight (3.0 g and 3.2 g) during kharif & rabi respectively) and yield (4554.0 kg ha-1 and 4425.5 kg ha-1) which was on par with 10% DASM. The interaction was found to be non-significant. Conclusion: Nitrogen application of 125% RDN and 100% RDN through fertigation were found to have statistically similar growth, yield parameters and yield. IoT based irrigation at 10% DASM was found to be on par with saturation treatment among all the growth, yield parameters and yield of aerobic rice.

show abstract

Yield Traits and Water Productivity Responses among Rice Varieties (Oryza sativa L.) Grown in A Fadama Ecosystem in Akure, Southwestern Nigeria

Cited by 2 publications

References 25 publications

Relationship between growth traits and yield formation in Indica-type rice crop

Relationship between growth traits and yield formation in Indica-type rice crop

Optimizing Growth and Yield in Aerobic Rice through IoT-based Drip Irrigation and Fertigation

Contact Info

Product

Resources

About