Optimization of PGPR and silicon fertilization using response surface methodology for enhanced growth, yield and biochemical parameters of French bean (Phaseolus vulgaris L.) under saline stress

被引:44
作者
Kumar, Vinod [1 ]
Kumar, Pankaj [1 ]
Khan, Ali [1 ]
机构
[1] Gurukula Kangri Vishwavidyalaya, Agroecol & Pollut Res Lab, Dept Zool & Environm Sci, Haridwar 249404, Uttarakhand, India
关键词
Crop productivity; PGPR; Phaseolus vulgaris; Prediction modeling; Response surface methodology; Silicon fertilizer; PROMOTING RHIZOBACTERIA PGPR; PLANT-GROWTH; INOCULATION; CHLOROPHYLL; BACTERIA; IMPROVE;
D O I
10.1016/j.bcab.2019.101463
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Increasing the yield performance of marketable horticulture crops and products using sustainable approaches has been the emergence of the 21st century. In this study, optimization of PGPR consortia and silicon fertilizer for enhanced growth and crop yield of French bean (Phaseolus vulgaris L.) was performed against saline stress. A central composite design (CCD) of RSM having face-centered (k = 1) configuration and 17 triplicated runs was designed for P. vulgaris cultivation experiments. A quadratic model having three levels of PGPR dose (X-1: 8 x 10(7), 4.5 x 10(7), and, 1 x 10(7) cfu/g) and silicon dose (X-2: 15, 10, and 5 g/kg soil) was used to optimize P. vulgaris plant height (Y-1; cm), pod length (Y-2; cm), pod yield/plant (Y-3; g), total chlorophyll content (Y-4; TCC: mg/g fwt.), superoxide dismutase (Y-5; SOD: mu/mg), and catalase (Y-6; CAT: mu/mg) activities. The results showed that the two selected factors (X-1 and X-2) had a significant influence on the selected response variables. Statistical analyses explained coefficient of determination (R-2<0.84), P-value (<0.05), F-value (>0.05), and not-significant lack of fit values (>0.05) supportive for the validation of prediction models. The maximum plant height (40.10 cm), pod length (18.01 cm), pod yield/plant (67.95 g) and TCC (4.40 mg/g fwt.), SOD (120.19 mu/mg), and CAT (84.21 mu/mg) activities were at optimized doses of PGPR (5.52 x 10(7) cfu/g) and silicon (10.90 g/kg). The finding of this study suggested that the combined application of PGPR and silicon fertilizer can enhance growth, yield and biochemical activity of P. vulgaris in saline soils.
引用
收藏
页数:10
相关论文
共 42 条
[11]   Silicon Fertilization Improves Physiological Responses in Sugarcane Cultivars Grown Under Water Deficit [J].
de Camargo, M. S. ;
Bezerra, B. K. L. ;
Holanda, L. A. ;
Oliveira, A. L. ;
Vitti, A. C. ;
Silva, M. A. .
JOURNAL OF SOIL SCIENCE AND PLANT NUTRITION, 2019, 19 (01) :81-91
[12]   'Feeding 9 billion people': global food security debates and the productionist trap [J].
Fouilleux, Eve ;
Bricas, Nicolas ;
Alpha, Arlene .
JOURNAL OF EUROPEAN PUBLIC POLICY, 2017, 24 (11) :1658-1677
[13]   Effects of supplied nitrogen form on growth and water uptake of French bean (Phaseolus vulgaris L.) plants -: Nitrogen form and water uptake [J].
Guo, S ;
Brück, H ;
Sattelmacher, B .
PLANT AND SOIL, 2002, 239 (02) :267-275
[14]   The Interactions of Rhizodeposits with Plant Growth-Promoting Rhizobacteria in the Rhizosphere: A Review [J].
Hassan, Mohammad K. ;
McInroy, John A. ;
Kloepper, Joseph W. .
AGRICULTURE-BASEL, 2019, 9 (07)
[15]   Soil beneficial bacteria and their role in plant growth promotion: a review [J].
Hayat, Rifat ;
Ali, Safdar ;
Amara, Ummay ;
Khalid, Rabia ;
Ahmed, Iftikhar .
ANNALS OF MICROBIOLOGY, 2010, 60 (04) :579-598
[16]   Optimisation of extraction of bioactive compounds from Feronia limonia (wood apple) fruit using response surface methodology (RSM) [J].
Ilaiyaraja, N. ;
Likhith, Kr. ;
Babu, G. R. Sharath ;
Khanum, Farhath .
FOOD CHEMISTRY, 2015, 173 :348-354
[17]  
Jha C.K., 2015, E3 J Agr Res and Develop, V5, P108, DOI DOI 10.13140/RG.2.1.5171.2164
[18]  
Jinggang X., 2010, CHIN AGR SCI B, V6, P26
[19]  
Jones J., 2018, SOIL ANAL HDB REFERE
[20]   Assessment of heavy metals uptake by cauliflower (Brassica oleracea var. botrytis) grown in integrated industrial effluent irrigated soils: A prediction modeling study [J].
Kumar, Vinod ;
Thakur, Roushan Kumar ;
Kumar, Pankaj .
SCIENTIA HORTICULTURAE, 2019, 257