Hybrid Rice Research and Development in Pakistan

Akhter, Muhammad; Sabar, Muhammad Farooq; Zahid, M. A.; Ahamd, Mushtaq

doi:10.3923/ajps.2007.795.801

Cited by 4 publications

(2 citation statements)

References 2 publications

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“…In addition, demand for this grain will increase worldwide; it is expected that approximately 116 million additional metric tons will be required in the year 2035 compared with the world rice production in 2010 (GRiSP, 2013). Therefore, it is necessary to develop technologies that allow increasing rice grain yield in order to meet this demand (Akhter, Sabar, Zahid, & Ahamd, 2007;Qin et al, 2013). Hybrid rice is a technology that allows increased grain yield by 15-30% (Krishnakumar, Nagarajan, Natarajan, Jawahar, & Pandian, 2005;Ravi, Ramesh, & Chandrasekaran, 2007;Virmani & Kumar, 2014), which represents an increase in productivity from 10,000 to 13,000 kg ha -1 (Kim et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Proportion of parental line (A receptor and R pollinator) seeds improving rice hybrid production

et al. 2020

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The high price of rice hybrid seeds is one of the major limiting factors for increasing the use of this technology. An important step toward minimizing high rice hybrid seed cost is developing techniques that help improve hybrid seed yield. Our goal was to determine the proportion of seeds of line A (receptor) and line R (pollinator) that, under mixed sowing, would allow optimized rice hybrid seed production and grain quality. Trials were performed for two growing seasons in the southern region of Brazil. The cultivar INTA Puita was used as a pollinator and line 464 A as receptor. The experimental design was a randomized block with four replications. Treatments included six proportions of seeds of the INTA Puita (0.75, 1.5, 3.0, 6.0, 12.0, and 24.00%) mixture with seeds of line 464 A (99.25, 98.50, 97.00, 94.00, 88.00, and 76%, respectively). By increasing the percentage of the pollinator seeds (INTA Puita CL) from 0.75 to 24% in the mixture with the receptor (line 464 A), we increased yield of INTA Puita CL grains (7 to 2676 kg ha-1) and hybrid seeds (279 to 1493 kg ha-1). The mixture of different proportions of INTA Puita CL (pollinator) with the receptor (line 464 A) did not change the rice grain quality or the production cost. The cost of production per kg of hybrid seeds decreased quadratically with the increasing percentage of the pollinator (INTA Puita CL), from US$ 6.71 to US$ 1.23. Revenue achieved from the commercialization of the grains of INTA Puita CL with hybrid seeds 464 A showed quadratic increases with the increased percentage of INTA Puita cl in the mixture. Our results showed a potential technique that could be used to improve hybrid seed production, reduce cost per kg of hybrid seed and improve revenue from producing rice hybrid seeds.

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Section: Introductionmentioning

confidence: 99%

Proportion of parental line (A receptor and R pollinator) seeds improving rice hybrid production

et al. 2020

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“…Neste sentido, o uso da tecnologia híbrida em arroz, considerando suas características de alta produtividade, pode ser uma opção interessante para ultrapassar esse patamar de produtividade. Ainda, em um cenário um pouco mais amplo, onde a demanda por arroz mundialmente é crescente, sendo necessárias mais 116 milhões de toneladas até 2035 em relação a produção mundial de arroz em 2010 (GRiSP 2013), o uso de tecnologias que propiciem o aumento da produtividade na cultura do arroz é extremamente importante para alcançar essa demanda (AKHTER et al 2007, QIN et al 2013.…”

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Otimização da densidade de semeadura em híbridos de arroz irrigado

Medeiros¹,

Schuch²,

Mondo

et al. 2018

RCA

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O objetivo deste trabalho foi avaliar a produtividade e qualidade de grãos sob distintas densidades de semeadura em híbridos de arroz irrigado. Os experimentos foram conduzidos nos municípios de Capão do Leão e Capivari do Sul, no Rio Grande do Sul. Os híbridos BRSCIRAD 302 e BRSCIRAD AH703 CL foram analisados, nas densidades de semeadura de 10, 20, 30 e 40 kg ha -1 , para os caracteres: produtividade e componentes de produção de grãos, características agronômicas, qualidade industrial e comercial de grãos de arroz irrigado. Os dados foram submetidos à análise de variância e ao teste F utilizando-se para a comparação dos híbridos o teste de Tukey nível de significância de 5% e para densidade de semeadura foi aplicada a análise de regressão. A partir da densidade de semeadura de 20 kg ha -1 , não há efeito sobre a produtividade. A qualidade industrial de grãos dos híbridos não é influenciada pela variação na densidade de semeadura e a redução na densidade de semeadura para até 10 kg ha -1 não prejudica a qualidade comercial dos grãos. Assim, é possível recomendar o cultivo de híbridos de arroz irrigado com densidades reduzidas de semeadura, a partir de 20 kg ha -1 , não afetando a produtividade de grãos e a qualidade dos grãos.

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Predicting Rice Blast (Pyriculariaoryzae) Severity Using Epidemiological Data with Advanced Regression Modeling Strategies

Arooj,

Ahmad,

Ali

et al. 2024

Preprint

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Rice blast is a detrimental disease widely prevalent in the world. Many disease predictive models have been developed for Rice blast disease (RBD) in different regions, but the disease prediction modeling in semi-arid areas is less characterized. Here, we focused on developing a disease predictive model (DPM) for rice blast disease (RBD) based on eight-year (2009–2016) environmental variables and their correlation with the RBD severity data, followed by validation with two-year (2017–2018) field trial data in a semi-arid region of Pakistan. Besides the correlation analysis, the model implied multiple linear regression analysis. The DPM indicated that five environmental variables maximum (Max) and minimum (Min) temperature, rainfall (RF), relative humidity (RH) and windspeed (WS), significantly contributed to the development of RBD during eight years. The obtained values of standard statistical indicators, coefficient of determination (R2) low standard error (SE) ≤ 10, and significance of F-distribution of regression statistics proved the effectiveness in predicting RBD for eight years. Furthermore, the criteria of root-mean square error (RMSE) and error (%) of 8 year data and observed data suggested a striking closeness between old and observed values of RBD severity, indicating the effective reliability of the model in both contexts. The analysis of 8 year DPM data showed that five environmental variables (max and min temps, RF, RH and WS) could cause up to 92% variability in RBD. Except for min temp, which showed a negative correlation suggesting a minor influence on disease development, the other four environmental factors exhibited a positive correlation with RBD severity, indicating the maximum contributing factors in disease development. The developed model helped us to predict the ranges of environmental factors, Max and Min temp 40–42°C and 22–24°C, RF 2-2.5 mm, RH 50–70%, and WS 9–11 Km/h, significantly favorable for RBD. The current prototype DPM of RBD has the potential for practical application if combined with a weather prediction system, which could be useful in developing rice blast disease warning system in the semi-arid zone of Punjab and predicting the appropriate time of the fungicidal sprays.

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Hybrid Rice Research and Development in Pakistan

Cited by 4 publications

References 2 publications

Proportion of parental line (A receptor and R pollinator) seeds improving rice hybrid production

Proportion of parental line (A receptor and R pollinator) seeds improving rice hybrid production

Otimização da densidade de semeadura em híbridos de arroz irrigado

Predicting Rice Blast (Pyriculariaoryzae) Severity Using Epidemiological Data with Advanced Regression Modeling Strategies

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