Scorza R, Callahan A, Dardick C, Ravelonandro M, PolakJ MT et al (2013) Genetic engineering of
plum pox virus resistance: “HoneySweet” plum-from concept to product. Plant Cell Tissue
Organ Cult 115:1–12. https://doi.org/10.1007/s11240-013-0339-6
Senthilvel S, Vinod KK, Malarvizhi P, Maheswaran M (2008) QTL and QTL Â environment
effects on agronomic and nitrogen acquisition traits in rice. J Integr Plant Biol 50:1108–1117
Seung HJ, Narayan CP, Jian XD, Young SK, Bong-Sik Y, Seung HY (2013) Biocontrol activity of
bacillusamyloliquefaciens CNU114001 against fungal plant diseases. Mycobiology 41
(4):234–242
Sharma A et al (2019) Worldwide pesticide usage and its impacts on ecosystem. SN Appl Sci
1:1446. https://doi.org/10.1007/s42452-019-1485-1
Shuqin JIN, Fang ZHOU (2018) Zero growth of chemical fertilizer and pesticide use: china’s
objectives, progress and challenges. J Resour Ecol 9(1):50–58
Singh H, Verma A, Ansari MA, Shukla A (2015) Physiological response of rice (Oryza sativa L.)
genotypes to elevated nitrogen applied under field conditions. Plant Signal Behav 9:29–45
Sinha SK, Sevanthi VAM, Chaudhary S, Tyagi P, Venkadesan S, Rani M, Mandal PK (2018)
Transcriptome analysis of two rice varieties contrasting for nitrogen use efficiency under
chronic n starvation reveals differences in chloroplast and starch metabolism-related genes.
Genes (Basel) 11:20–45
Srividya A, Vemireddy LR, Hariprasad AS, Jayaprada M, Sakile S, Puram VRR, Anuradha G,
Siddiq EA (2010) Identification and mapping of landrace derived QTL associated with yield and
its components in rice under different nitrogen levels and environments. Int J Plant Breed Genet
4:210–227
Struik PC, Cassman KG, Koornneef M (2007) A dialogue on interdisciplinary collaboration to
bridge the gap between plant genomics and crop sciences. In: Spiertz JHJ, Struik PC, van Laar
HH (eds) Scale and complexity in plant systems research: gene-plant-crop relations. Springer,
Dordrecht, pp 317–326
Tong HH, Mei HW, Yu XQ, Xu XY, Li MS, Zhang SQ, Luo LJ (2006) Identification of related
QTLs at late developmental stage in rice (Oryza sativa L.) under two nitrogen levels. Acta Genet
Sin 33:458–467
Tong HH, Chen L, Li WP, Mei H, Xing Y, Yu X, Xu X, Zhang S, Luo L (2011) Identification and
characterization of quantitative trait loci for grain yield and its components under different
nitrogen fertilization levels in rice (Oryza sativa L.). Mol Breed 28:495–509
Varshney RK, Graner A, Sorrels ME (2005) Genomics-assisted breeding for crop improvement.
Trends Plants Sci 10:621–630
Vassilev D, Leunissen J, Atanassov A et al (2005) Applications of bioinformatics in plant breeding.
Biotechnol Biotechnol Equip 19:139–152
Velculescu VE, Zhang L, Vogelstein B, Kinzler KW (1995) Serial analysis of gene expression.
Science 270:484–487
Vetrovsky T, Baldrian P (2013) The variability of the 16S rRNA gene in bacterial genomes and its
consequences for bacterial community analyses. PLoS One 8(2):e57923. https://doi.org/10.
1371/journal.pone.0057923
Vinod KK, Heuer S (2012) Approaches towards nitrogen- and phosphorus-efficient rice. AoB
Plants 28:1–18
Wang Y, Wu WH (2015) Genetic approaches for improvement of the crop potassium acquisition
and utilization efficiency. Curr Opin Plant Biol 25:46–52
Wei D, Cui K, Ye G, Pan J, Xiang J, Huang J, Nie L (2012) QTL mapping for nitrogen-use
efficiency and nitrogen-deficiency tolerance traits in rice. Plant Soil 359:281–295
Wissuwa M, Yano M, Ae N (1998) Mapping of QTLs for phosphorus-deficiency tolerance in rice
(Oryza sativa L.). Theor Appl Genet 97:777–783
Wu P, Ni JJ, Luo AC (1998) QTLs underlying Rice tolerance to low-potassium stress in Rice
seedlings. Crop Sci 38:1458–1462
20 The Potential of Biotechnology on Soil Quality by Minimizing Agrochemical. . .
429
plum pox virus resistance: “HoneySweet” plum-from concept to product. Plant Cell Tissue
Organ Cult 115:1–12. https://doi.org/10.1007/s11240-013-0339-6
Senthilvel S, Vinod KK, Malarvizhi P, Maheswaran M (2008) QTL and QTL Â environment
effects on agronomic and nitrogen acquisition traits in rice. J Integr Plant Biol 50:1108–1117
Seung HJ, Narayan CP, Jian XD, Young SK, Bong-Sik Y, Seung HY (2013) Biocontrol activity of
bacillusamyloliquefaciens CNU114001 against fungal plant diseases. Mycobiology 41
(4):234–242
Sharma A et al (2019) Worldwide pesticide usage and its impacts on ecosystem. SN Appl Sci
1:1446. https://doi.org/10.1007/s42452-019-1485-1
Shuqin JIN, Fang ZHOU (2018) Zero growth of chemical fertilizer and pesticide use: china’s
objectives, progress and challenges. J Resour Ecol 9(1):50–58
Singh H, Verma A, Ansari MA, Shukla A (2015) Physiological response of rice (Oryza sativa L.)
genotypes to elevated nitrogen applied under field conditions. Plant Signal Behav 9:29–45
Sinha SK, Sevanthi VAM, Chaudhary S, Tyagi P, Venkadesan S, Rani M, Mandal PK (2018)
Transcriptome analysis of two rice varieties contrasting for nitrogen use efficiency under
chronic n starvation reveals differences in chloroplast and starch metabolism-related genes.
Genes (Basel) 11:20–45
Srividya A, Vemireddy LR, Hariprasad AS, Jayaprada M, Sakile S, Puram VRR, Anuradha G,
Siddiq EA (2010) Identification and mapping of landrace derived QTL associated with yield and
its components in rice under different nitrogen levels and environments. Int J Plant Breed Genet
4:210–227
Struik PC, Cassman KG, Koornneef M (2007) A dialogue on interdisciplinary collaboration to
bridge the gap between plant genomics and crop sciences. In: Spiertz JHJ, Struik PC, van Laar
HH (eds) Scale and complexity in plant systems research: gene-plant-crop relations. Springer,
Dordrecht, pp 317–326
Tong HH, Mei HW, Yu XQ, Xu XY, Li MS, Zhang SQ, Luo LJ (2006) Identification of related
QTLs at late developmental stage in rice (Oryza sativa L.) under two nitrogen levels. Acta Genet
Sin 33:458–467
Tong HH, Chen L, Li WP, Mei H, Xing Y, Yu X, Xu X, Zhang S, Luo L (2011) Identification and
characterization of quantitative trait loci for grain yield and its components under different
nitrogen fertilization levels in rice (Oryza sativa L.). Mol Breed 28:495–509
Varshney RK, Graner A, Sorrels ME (2005) Genomics-assisted breeding for crop improvement.
Trends Plants Sci 10:621–630
Vassilev D, Leunissen J, Atanassov A et al (2005) Applications of bioinformatics in plant breeding.
Biotechnol Biotechnol Equip 19:139–152
Velculescu VE, Zhang L, Vogelstein B, Kinzler KW (1995) Serial analysis of gene expression.
Science 270:484–487
Vetrovsky T, Baldrian P (2013) The variability of the 16S rRNA gene in bacterial genomes and its
consequences for bacterial community analyses. PLoS One 8(2):e57923. https://doi.org/10.
1371/journal.pone.0057923
Vinod KK, Heuer S (2012) Approaches towards nitrogen- and phosphorus-efficient rice. AoB
Plants 28:1–18
Wang Y, Wu WH (2015) Genetic approaches for improvement of the crop potassium acquisition
and utilization efficiency. Curr Opin Plant Biol 25:46–52
Wei D, Cui K, Ye G, Pan J, Xiang J, Huang J, Nie L (2012) QTL mapping for nitrogen-use
efficiency and nitrogen-deficiency tolerance traits in rice. Plant Soil 359:281–295
Wissuwa M, Yano M, Ae N (1998) Mapping of QTLs for phosphorus-deficiency tolerance in rice
(Oryza sativa L.). Theor Appl Genet 97:777–783
Wu P, Ni JJ, Luo AC (1998) QTLs underlying Rice tolerance to low-potassium stress in Rice
seedlings. Crop Sci 38:1458–1462
20 The Potential of Biotechnology on Soil Quality by Minimizing Agrochemical. . .
429