Comparative Effect of Or ganics and Biofertilizers on Growth and Yield of Maize (Zea mays. L)

Umesha, S.; Divya, Mani; Prasanna, K. S.; Lakshmipathi, R. N.; Sreeramulu, K.

doi:10.12944/carj.2.1.08

Cited by 20 publications

(24 citation statements)

References 7 publications

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“…northern area in Cote d'Ivoire). Also, hard work should be geared towards closing the current gap in rhizosphere research (Shaharoona et al, 2006;Umesha et al, 2014;Diarrassouba et al, 2015;Noel et al, 2016;Dago et al, 2018) in mixed cultures by correctly outlining the unknown factors that affects plant growth in mixtures (Connolly et al, 2001). This can lead to increased production through improved plant nutrition, as well as genetic manipulation of different plant species and management practices in the cropping systems (Patrick, 2006).…”

Section: Introductionmentioning

confidence: 99%

Intercropping Agricultural Practices by Improving Maize Early Growth Process: A Bio-Statistical Approach

Noel

Tuo

Magloire

et al. 2019

Current Research in Biostatistics

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Fertile soil pressure represents a crucial concern vis-à-vis of agricultural crop yield improvement in several southern countries. Environmental concerns and soil low fertility as well as a rapid demographic development and as well intensive industrial exploitation with regard ground resource, drastically contribute in reducing agricultural land availability. We believe that multiple culture and/or intercropping experimentation designs, integration in southern countries agricultural practices, could partially overcame fertile soil pressure issues. The main types of intercropping include mixed intercropping, row intercropping and strip intercropping. Here we assessed maize/cowpea intercropping patterns as well as maize monoculture systems. For this purpose, experimental dispositive is as following; 5 parcels including sole maize plants, 5 parcels with alternation of maize and cowpea plots on the same row (strip intercropping) and 5 parcels including maize and cowpea alternation rows (row intercropping), by a computational statistical approach with the purpose to promote mixed crops practices in contrasting fertile soil availability concerns, optimizing maize plants growth process. Growth data (plant height and plant leave number) apropos 52 maize plants for each above described experimental sites were collected during 9 weeks and processed by own R script, including descriptive and analytical statistical surveys. Findings clearly shown a positive impact of intercropping practices in accelerating maize early growth process. Maize and cowpea rows intercropping exhibited a good performance in term of accelerating maize growth process as opposite to maize monoculture (p<0.03) and maize/cowpea strip intercropping parcels (p<0.001). This study highlighted the usefulness mixed cultures intercropping system based on maize/cowpea rows alternation planting pattern in improving maize early development and as well promoted experimental design as a valuable solution in agronomical research for contrasting agricultural concerns vis-àvis of limited productive and as well low fertile ground resources.

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Section: Introductionmentioning

confidence: 99%

Intercropping Agricultural Practices by Improving Maize Early Growth Process: A Bio-Statistical Approach

Noel

Tuo

Magloire

et al. 2019

Current Research in Biostatistics

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“…Además, los microorganismos del suelo son importantes en la solubilización de minerales y nutrimentos, y contribuyen al mantenimiento de la calidad del suelo (Loreto et al, 2004). El creciente interés por desarrollar una agricultura de bajo consumo de agroquímicos, la mayor concientización sobre el cuidado del medio ambiente, aunado al alto costo y baja eficiencia de los fertilizantes inorgánicos, han contribuido a que los agricultores vean como buena alternativa la aplicación de los inoculantes biológicos y abonos orgánicos (Umesha et al, 2014). (Bojórquez et al, 2010).…”

Section: Introductionunclassified

Bioinoculantes y abonos orgánicos en la producción de maíz forrajero

Cruz¹,

Viramontes²,

Hernández³

et al. 2018

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Introducción: La producción de forrajes en la Comarca Lagunera se realiza de forma intensiva, por lo que no hay un intervalo de tiempo que le permita al suelo recuperarse. El cultivo de maíz forrajero en esta región es el segundo en importancia, por lo que es imprescindible buscar estrategias que nos permitan recuperar la calidad de los suelos sin que el rendimiento se vea afectado. Método: Se evaluó la producción de maíz forrajero con el híbrido P3258W de Pioneer. Se usó un bioinoculante comercial para suelo con dosis de 0, 20 y 40 l ha-1, en combinación con siete fuentes de fertilizante: vermicompost en 5 y 10 t ha-1, estiércol de bovino lechero en 80 t ha-1, fertilizante inorgánico (191-75-30 de NPK), un fertilizante comercial orgánico a dosis de 2.5 y 5 l ha-1 y el testigo. El diseño experimental fue en bloques al azar, con arreglo de tratamientos en parcelas divididas, donde la parcela mayor fue el bioinoculante y la parcela menor la fuente de fertilización. Las variables que se evaluaron fueron rendimiento de forraje verde y seco, altura de planta a la cosecha; antes y después de la cosecha se evaluó en muestras de suelo: materia orgánica, pH, conductividad eléctrica, nitrógeno inorgánico y fósforo. En muestras de planta tomadas en la cosecha se determinó nitrógeno y fósforo totales. Resultados: Hubo diferencia significativa en cuanto al rendimiento respecto a la fuente de fertilizante y el mejor tratamiento fue donde se aplicó estiércol a una dosis de 80 t ha-1. En las características del suelo: materia orgánica, nitrógeno y fósforo se observaron diferencias significativas entre dosis de bioinoculante del suelo y entre fuentes de fertilizante. Para el nitrógeno en planta, las diferencias fueron significativas entre dosis de bioinoculante del suelo y entre fuentes de fertilizante. En la concentración de fósforo en planta, el análisis mostró una interacción significativa entre dosis de bioinoculante del suelo y fuentes de fertilizante. Conclusión: Se puede llevar a cabo la producción de maíz forrajero utilizando bioinoculantes y abonos orgánicos sin que el rendimiento se vea afectado y se favorece el contenido de materia orgánica, nitrógeno y fósforo en el suelo.

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“…It is therefore appropriate to find alternative solutions at the overuse of chemical fertilizers. Bio-fertilizer are found to positively contribute to soil fertility, resulting in an increase in crop yield without causing any environmental, water or soil pollution hazards (Umesha et al, 2014). Research work has already been undertaken on the potential effect of bio-fertilizers on crop yields.…”

Section: Introductionmentioning

confidence: 99%

Predicting maize and soybean crops dry biomass through rhizobacteria microorganisms activity on foliar bio-fertilizer in an arid agro-climate: A multiple linear regression analysis

Dago¹,

Nafan²,

Saraka³

et al. 2018

Afr. J. Microbiol. Res.

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After previously showing rhizobacteria Pseudomonas fluorescence and foliar bio-fertilizer mixture as a suitable practice in improving maize and soybean crops development and dry biomass, this study thus embark on predicting the above-mentioned plants dry biomass feature through their yield and growth parameters by assessing P. fluorescence activities on foliar bio-fertilizer in an arid agro-climate. For this purpose, several scripts and functions from our previous computational statistic pipeline, developed in R programming environment were partially used for statistical survey. Several multiple linear regression models have been achieved aimed at understanding the links between maize and soybean crops (i) dry biomass, (ii) yield and (iii) growth features as well as highlights the synergic roles of rhizobacteria microorganisms and foliar bio-fertilizer on that relationship. Findings, revealed as expected, a significant difference in term of crops development between plants from seeds without treatment and those from seeds under (i) rhizobacteria, (ii) rhizobacteri + foliar bio-fertilizer mixture and (iii) foliar biofertilizer treatments (p<0.05). Also, yield parameters exhibited a substantial variability reacting to rhizobacteria microorganism as well as to rhizobacteria microorganism + foliar bio-fertilizer mixture as opposed to growth features. Hence, the present results clearly showed significant difference between rhizobacteria microorganism and foliar bio-fertilizer activities impacting both maize and soybean crops yield and growth features (p<0.05). Indeed, findings suggested a selective impact of rhizobacteria microorganisms (P. fluorescence) on processed plants yield features. The same findings exhibited P. fluorescence and foliar bio-fertilizer mixture, as adjusting the synergy between both processed crops growth and yield parameters by improving dry biomass feature (p= 0.17). Finally, this study emphasized rhizobacteria microorganism's activities on foliar bio-fertilizer in an arid agro-climate low fertile soil as a weighty promoter improving maize and soybean crops dry biomass by normalizing the relationship concerning growth and yield features.Key words: Rhizobacteria (Pseudomonas fluorescence), growth and yield parameters, dry biomass, maize (Zea mays. L.) and soybean (Glycine max), computational statistic.

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Comparative Effect of Or ganics and Biofertilizers on Growth and Yield of Maize (Zea mays. L)

Cited by 20 publications

References 7 publications

Intercropping Agricultural Practices by Improving Maize Early Growth Process: A Bio-Statistical Approach

Intercropping Agricultural Practices by Improving Maize Early Growth Process: A Bio-Statistical Approach

Bioinoculantes y abonos orgánicos en la producción de maíz forrajero

Predicting maize and soybean crops dry biomass through rhizobacteria microorganisms activity on foliar bio-fertilizer in an arid agro-climate: A multiple linear regression analysis

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