Genetic modification, a process used to change an organism's genes and hence its characteristics, is now being used to improve trees. Through genetic modification, it is possible to create trees that produce more fruit, grow faster, or withstand adverse conditions. Planting genetically modified trees on a large scale promises to bring a number of benefits.
First, genetically modified trees are designed to be hardier than natural trees; that is, they are more likely to survive than their unmodified counterparts. In Hawaii, for example, a new pest-resistant species of papaya tree has been developed in response to ringspot virus infestations that have repeatedly damaged the native papaya-tree population. Planting the genetically modified papayas has largely put an end to the ringspot problem.
Moreover, genetically modified trees promise to bring a number of economic benefits to those who grow them. Genetically modified trees tend to grow faster, give greater yields—of wood, fruit, or other products—and be hardier. This allows tree farmers to get faster and greater returns on their farming investment and save on pesticides as well.
Finally, the use of genetically modified trees can prevent overexploitation of wild trees. Because of the growing demand for firewood or building timber, many forests around the world are being cut down faster than they can be replaced. Introducing genetically modified trees—designed for fast growth and high yield in given geographic conditions—would satisfy the demand for wood in many of those areas and save the endangered native trees, which often include unique or rare species.
The reading and lecture are both about the genetically modified trees. While the author of the passages describes the advantages of these trees, lecturer feels that these advantages are not very beneficial. She provides three following explanations.
First of all, the author states that genetically modified trees are hardier than the unmodified counterparts. However, lecturer find flaws in this point. She says as genetically modified trees are all similar in their characters, if something goes wrong in the climate or even pest attack, there is more chance that all these tree die at once. On the contrary, normal trees have diverse nature, so few of them resist the changes in the climate or any attack from pest.
Secondly, the author contents that genetically modified trees have many economic benefits than the normal trees. The lecturer rebuts this point by saying that genetically modified tree seeds are costly than normal seeds. Furthermore, farmers have to pay money to supplier company after each harvest.
Thirdly, the author posits that these modified trees save the endangered native trees. . The lecturer ,on the other hand, states that these modified trees often compete with normal trees for water and nutrients as they both are grown together, and thus overgrow the normal trees.
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Grammar and spelling errors:
Line 7, column 88, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Don't put a space before the full stop
Suggestion: .
...trees save the endangered native trees. . The lecturer ,on the other hand, states...
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Line 7, column 102, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
... endangered native trees. . The lecturer ,on the other hand, states that these mod...
^^
Transition Words or Phrases used:
but, first, furthermore, however, if, second, secondly, so, third, thirdly, thus, while, first of all, on the contrary, on the other hand
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 7.0 10.4613686534 67% => OK
Auxiliary verbs: 0.0 5.04856512141 0% => OK
Conjunction : 5.0 7.30242825607 68% => OK
Relative clauses : 7.0 12.0772626932 58% => More relative clauses wanted.
Pronoun: 19.0 22.412803532 85% => OK
Preposition: 19.0 30.3222958057 63% => OK
Nominalization: 0.0 5.01324503311 0% => More nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 1103.0 1373.03311258 80% => OK
No of words: 207.0 270.72406181 76% => More content wanted.
Chars per words: 5.32850241546 5.08290768461 105% => OK
Fourth root words length: 3.79308509922 4.04702891845 94% => OK
Word Length SD: 2.48311140924 2.5805825403 96% => OK
Unique words: 123.0 145.348785872 85% => More unique words wanted.
Unique words percentage: 0.594202898551 0.540411800872 110% => OK
syllable_count: 335.7 419.366225166 80% => OK
avg_syllables_per_word: 1.6 1.55342163355 103% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 2.0 3.25607064018 61% => OK
Article: 6.0 8.23620309051 73% => OK
Subordination: 2.0 1.25165562914 160% => OK
Conjunction: 1.0 1.51434878587 66% => OK
Preposition: 2.0 2.5761589404 78% => OK
Performance on sentences:
How many sentences: 12.0 13.0662251656 92% => OK
Sentence length: 17.0 21.2450331126 80% => The Avg. Sentence Length is relatively short.
Sentence length SD: 46.2663634716 49.2860985944 94% => OK
Chars per sentence: 91.9166666667 110.228320801 83% => OK
Words per sentence: 17.25 21.698381199 79% => OK
Discourse Markers: 11.4166666667 7.06452816374 162% => OK
Paragraphs: 4.0 4.09492273731 98% => OK
Language errors: 2.0 4.19205298013 48% => OK
Sentences with positive sentiment : 4.0 4.33554083885 92% => OK
Sentences with negative sentiment : 5.0 4.45695364238 112% => OK
Sentences with neutral sentiment: 3.0 4.27373068433 70% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.1242168692 0.272083759551 46% => OK
Sentence topic coherence: 0.0525169384672 0.0996497079465 53% => OK
Sentence topic coherence SD: 0.0383826429668 0.0662205650399 58% => OK
Paragraph topic coherence: 0.0815273480352 0.162205337803 50% => OK
Paragraph topic coherence SD: 0.017092127624 0.0443174109184 39% => Paragraphs are similar to each other. Some content may get duplicated or it is not exactly right on the topic.
Essay readability:
automated_readability_index: 12.3 13.3589403974 92% => Automated_readability_index is low.
flesch_reading_ease: 54.22 53.8541721854 101% => OK
smog_index: 8.8 5.55761589404 158% => OK
flesch_kincaid_grade: 9.9 11.0289183223 90% => OK
coleman_liau_index: 13.34 12.2367328918 109% => OK
dale_chall_readability_score: 7.84 8.42419426049 93% => OK
difficult_words: 44.0 63.6247240618 69% => More difficult words wanted.
linsear_write_formula: 7.0 10.7273730684 65% => OK
gunning_fog: 8.8 10.498013245 84% => OK
text_standard: 9.0 11.2008830022 80% => OK
What are above readability scores?
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Rates: 70.0 out of 100
Scores by essay e-grader: 21.0 Out of 30
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Note: the e-grader does NOT examine the meaning of words and ideas. VIP users will receive further evaluations by advanced module of e-grader and human graders.