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Response of upland rice agronomic parameters to variable water supply

International Journal of Agricultural and Biological Engineering 2011年第2期4卷 50-58页

作者： Christopher O Akinbile Abimbola Y Sangodoyin Department of Agricultural Engineering Federal University of TechnologyAkureNigeria Department of Agricultural and Environmental Engineering University of IbadanNigeria

Rice response to water application is necessary for increased productivity;hence,this study was aimed at establishing the agronomic responses of rice crop to differential water supplies.A two-year dry season experiment was conducted on the research farm of International Institute of Tropical Agriculture(IITA),Ibadan,*** upland rice varieties(NERICA 2 and NERICA 4)were planted on a 5 m×5 m plot in a randomized complete block design with four treatments and two replicates based on different water *** scheduling was designed as 100%ET,75%ET,50%ET and 25%ET for the treatments *** parameters such as plant height,root depth,canopy shading(CS),leaf area index(LAI),panicle and tiller configuration,biomass and grain yield in relation to crop water use were obtained and the results were subjected to statistical *** values of highest plant height(89.0 and 100.3 cm),deepest root depth(22.1 and 23.8 cm),panicle diameter(3.9 and 4.5 cm),panicle length(26.1 and 25.7 cm),LAI,3.27 and 3.95,CS,0.22 and 0.99 were obtained for both NERICA 2 and NERICA 4 *** width(1.3 and 1.4 cm),total tillers(14 and 12)and leaf length(36.9 and 38 cm)were also observed for the two varieties *** highest total grain and biomass yields of 1.94 t/ha and 1.95 t/ha were observed in 100%ET treatment for NERICA 2 while the least values of 0.29 t/ha and 1.09 t/ha were observed in 25%ET *** for NERICA 4,the highest values(1.90 t/ha and 2.27 t/ha)were from 100%ET and the least(0.38 t/ha and 2.29 t/ha)in 25%*** result of ANOVA showed significant differences in biomass and grain yield,LAI,CS,plant height and root depth among treatments(Pagronomic response of rice.

关键词： agronomic parameters upland rice water supply irrigation scheduling response rice yield

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Effects of Management Practices on agronomic parameters in Cocoa Agroecosystems at Peripheral Zone of Ebo Forest Reserve, Littoral Region, Cameroon

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Agricultural Sciences 2022年第10期13卷 1151-1175页

作者： Ofundem Tataw Ojong Enow Andrew Egbe Joseph-Marie Ondoua Tina Fongod Raymond Ndip Nkongho Department of Plant Sciences University of Buea Buea Cameroon Department of agronomic and Applied Molecular Sciences University of Buea Buea Cameroon Department of Food Science and Technology University of Buea Buea Cameroon

The study was carried out to assess the effect of management practices on agronomic parameters of cocoa agroecosystems in the peripheral zone of Ebo Forest Reserve. Purposive random sampling was conducted to establish experimental plots on the farms of willing farmers. Demonstration plots were established and agronomic parameters were monitored for “farmers’ practice (FP) and integrated crop pest and disease management (ICPM) practice” using indicators of Cocoa agro-ecosystem analysis (AESA). The FP and ICPM treatments were replicated in ten sites. From AESA records of agronomic parameters, the “observe, learn, decide and act” (OLDA) model was implemented in the ICPM treatments only. The effects of management practices were analyzed using a two-way analysis of variance (ANOVA), and treatment means compared using Turkey’s T-test at 5% probability. Results of ANOVA between the two Management practices showed that over 50% of the response variables were statistically significant. Means separated through GLM ANOVA with Tukey pairwise comparisons at α = 0.05 showed that 14 (53.8%) out of 26 response variables monitored were statistically significant between the two management practices. Pruning, shade management, phytosanitary harvest, rational use of pesticides, farm sanitation, pod harvesting, breaking, fermentation of beans and drying were regular in the ICPM treatment and time-bound in the FP treatment. The average total production varied from 385.83 kg/ha in FP treatment to 572.8 kg/ha in the ICPM treatment, still below the average standard of 1000 kg/ha. The OLDA model applied in ICPM treatment following AESA is a relevant tool to enhance sustainability in the management of cocoa agroecosystems. Farmers should be sensitized and trained on appropriate farm management techniques and enhance access to extension services as well as make available improved and grafted planting materials to ensure appropriate productivity levels.

关键词： Agroecosystem agronomic parameters Cocoa Management Practices

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Impact of Composts Maturity on Growth and agronomic parameters of Maize (<i>Zea mays</i>)

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American Journal of Analytical Chemistry 2021年第2期12卷 29-45页

作者： Mawuli Tamakloe Edem Komi Koledzi Etsè Aziable Maglwa Tcha-Thom Nitale M’Balikine Krou Laboratory of Waste Management Treatment and Recovery (Laboratory GTVD) Faculty of Sciences University of Lomé Lomé Togo Laboratory of Sanitation Water Science and Environment (LSEE) Faculty of Science and Technology University of Kara Kara Togo

Several methods have been developed in the literature which allow the maturity of composts to be assessed before it is used in agriculture. The objective of this study is to assess the maturity of the composts produced at the platform of the NGO ENPRO in Lomé on the growth and agronomic parameters of maize (Zea mays L., var. IKENE). To do so, three types of compost (gargabe, fruit waste, animal litter) were made for at least 3 months. The chemical analysis, phytotoxicity and agronomic tests carried out made it possible to assess the maturity of these composts. Indeed, the evolution of the C/N ratio, of the electrical conductivity, the phytotoxicity tests and the growth parameters of the composts show that the composts N°1 and N°2 are mature at the end of the 3rd month of composting while the compost N°3 can only be considered mature at the end of the 5th month of composting. But, with a yield of 2.39 ± 0.28 t/ha and a mass of 1000 grains of 346 ± 4 g, the treatment at 5 t/ha of compost N°3, has the best agronomic parameters compared to other types of compost and treatment without organic amendment. These results also show that compost with a high electrical conductivity has an inhibitory effect on the growth of corn plants (Zea mays L., var. IKENE). Basic chemical analysis, phytotoxicity tests and height growth of maize (Zea mays L., var. IKENE) are relatively efficient methods for evaluating the maturity of composts.

关键词： Compost Phytotoxicity agronomic parameters Growth Maize (Zea mays L. var. IKENE)

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Estimating Wheat Grain Protein Content Using Multi-Temporal Remote Sensing Data Based on Partial Least Squares Regression

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Journal of Integrative Agriculture 2012年第9期11卷 1445-1452页

作者： LI Cun-jun WANG Ji-hua WANG Qian WANG Da-cheng SONG Xiao-yu WANG Yan HUANGWen-jiang Beijing Research Center for Information Technology in Agriculture Beijing 100097 P.R.China National Engineering Research Center for Information Technology in Agriculture Beijing 100097 P.R.China

Estimating wheat grain protein content by remote sensing is important for assessing wheat quality at maturity and making grains harvest and purchase policies. However, spatial variability of soil condition, temperature, and precipitation will affect grain protein contents and these factors usually cannot be monitored accurately by remote sensing data from single image. In this research, the relationships between wheat protein content at maturity and wheat agronomic parameters at different growing stages were analyzed and multi-temporal images of Landsat TM were used to estimate grain protein content by partial least squares regression. Experiment data were acquired in the suburb of Beijing during a 2-yr experiment in the period from 2003 to 2004. Determination coefficient, average deviation of self-modeling, and deviation of cross- validation were employed to assess the estimation accuracy of wheat grain protein content. Their values were 0.88, 1.30%, 3.81% and 0.72, 5.22%, 12.36% for 2003 and 2004, respectively. The research laid an agronomic foundation for GPC （grain protein content） estimation by multi-temporal remote sensing. The results showed that it is feasible to estimate GPC of wheat from multi-temporal remote sensing data in large area.

关键词： grain protein content agronomic parameters multi-temporal Landsat partial least squares regression

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Antifungal Potential of Beauveria bassiana on Solanum lycopersicum L. Infected with Fusarium oxysporum f. sp. lycopersici

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Phyton-International Journal of Experimental Botany 2023年第4期92卷 1235-1255页

作者： Henry López-López Nancy Ruiz-Lau Rocío Meza-Gordillo Víctor Manuel Ruiz-Valdiviezo Joseph Galthier Robledo-Luchetti Carlos Alberto Lecona-Guzmán Juan JoséVillalobos-Maldonado Luc Dendooven Joaquín Adolfo Montes-Molina Laboratorio de Biotecnología vegetal Tecnológico Nacional de Mexico/Campus Tuxtla GutiérrezTuxtla Gutiérrez29050Mexico CONACYT-Tecnológico Nacional de Mexico/Campus Tuxtla Gutiérrez Tuxtla Gutiérrez29050México ABACUS CinvestavCiudad de México07360México

The objective of this work was to evaluate the effect of Beauveria bassiana(Bb 1205)on controlling Fusarium oxysporum ***(Fol 17108)in tomato plants in greenhouse *** of Bb 1205 was the most promising among the agronomic variables and expression of the activity of the enzymesβ-1,3-glucanases and *** of Bb 1205 occurred at a concentration of 1×108 conidia·mL−1,which was administered onto the leaves,directly into the soil and via *** with Fol 17108 occurred with 1×106 spores·mL−1,which were added directly to the *** was used for measuring agronomic parameters,namely activity of chitinases andβ-1,3-glucanases in foliage and *** Bb 1205 was added to the soil,the chlorophyll index and aerial part length showed significant *** addition,it was determined that root length,fresh weight of foliage,flower,and fruit count increased 82 days after inoculation(dai).Chitinase activity induced by Bb 1205 in leaves and roots of tomato plants infected with Fol 17108 was observed when injected into the stem at 32 dai(41.8 and 11.6-fold,respectively).Inoculation on the foliage showed a 10-fold increase ofβ-1,3-glucanases in the roots after 82 *** for leaves,a 3.8-fold increase was found when the stem was *** the different in vivo applications,Bb 1205 activated its defenses by expressing the chitinase enzymes andβ-1,3-glucanase,thus reducing the damage caused by Fol 17108,demonstrating increase plant growth thereafter.

关键词： Mycoparasitism agronomic parameters chitinases β-1,3-glucanases

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Influence of the Year and Growing Area on Maize (Zea mays L.) Production in the Central and North-Central Zones of Côte d’Ivoire (Departments of Bouake and Katiola)

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American Journal of Plant Sciences 2022年第8期13卷 1116-1125页

作者： Essy Konan Jean François Kouassi N’dri Jacob Kouame N’guessan Kouadio Yatty Justin Agricultural Production Improvement Laboratory UFR Agroforestry University of Jean Lorougnon GUEDE (UJLoG) Daloa C&#244 te d’Ivoire

Several studies conducted in recent years in Côte d’Ivoire reveal that agriculture is increasingly affected by the adverse effects of climate variability. The present study aims at evaluating the effect of the zone and the year of cultivation on the productivity of maize in the Central and North-Central zones of Cote d’Ivoire. It was carried out for two years (2020 and 2021). The experimental design used was a completely randomized block design with three replications. Observations were made on 12 agronomic parameters (plant size, internode size, collar diameter, number of leaves, number of internodes, cob insertion level, cob length, cob diameter, total kernels, cob dry weight, kernel dry weight, yield). The results showed that all agronomic traits of maize were significantly influenced by locality, except for the number of leaves. The highest values of the traits were observed in the locality of Bouaké. However, the year of cultivation did not influence the agronomic parameters of maize. This study will help to avoid yield decreases due to rainfall disturbances as a consequence of climate change.

关键词： Climate Variability agronomic parameters Growing Area

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